Triple
T14610546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Finest Hours |
E342946
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
The Finest Hours: The True Story of the U.S. Coast Guard's Most Daring Sea Rescue
"The Finest Hours: The True Story of the U.S. Coast Guard's Most Daring Sea Rescue" is a nonfiction book that recounts the harrowing 1952 rescue mission off the coast of Cape Cod, in which Coast Guard crews braved a brutal nor’easter to save the crews of two split oil tankers.
|
E342946
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Finest Hours: The True Story of the U.S. Coast Guard's Most Daring Sea Rescue | Statement: [The Finest Hours, basedOn, The Finest Hours: The True Story of the U.S. Coast Guard's Most Daring Sea Rescue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Finest Hours: The True Story of the U.S. Coast Guard's Most Daring Sea Rescue Context triple: [The Finest Hours, basedOn, The Finest Hours: The True Story of the U.S. Coast Guard's Most Daring Sea Rescue]
-
A.
The Finest Hours
The Finest Hours is a 2016 American disaster drama film depicting the true story of a daring U.S. Coast Guard rescue off the New England coast during a brutal 1952 nor’easter.
-
B.
Lone Survivor
Lone Survivor is a 2013 war film based on the true story of a Navy SEAL team’s ill-fated mission in Afghanistan, adapted from Marcus Luttrell’s memoir.
-
C.
In the Heart of the Sea
In the Heart of the Sea is a historical adventure-drama film depicting the real-life 1820 sinking of the whaling ship Essex, an event that inspired Herman Melville’s Moby-Dick.
-
D.
Endurance: Shackleton’s Incredible Voyage
Endurance: Shackleton’s Incredible Voyage is a nonfiction book by Alfred Lansing that recounts Sir Ernest Shackleton’s harrowing 1914–1917 Antarctic expedition and the crew’s remarkable survival after their ship was trapped and crushed by ice.
-
E.
Unbroken: A World War II Story of Survival, Resilience, and Redemption
"Unbroken: A World War II Story of Survival, Resilience, and Redemption" is a nonfiction book by Laura Hillenbrand that chronicles the harrowing wartime experiences and remarkable endurance of American Olympian and airman Louis Zamperini.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Finest Hours: The True Story of the U.S. Coast Guard's Most Daring Sea Rescue Triple: [The Finest Hours, basedOn, The Finest Hours: The True Story of the U.S. Coast Guard's Most Daring Sea Rescue]
Generated description
"The Finest Hours: The True Story of the U.S. Coast Guard's Most Daring Sea Rescue" is a nonfiction book that recounts the harrowing 1952 rescue mission off the coast of Cape Cod, in which Coast Guard crews braved a brutal nor’easter to save the crews of two split oil tankers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Finest Hours: The True Story of the U.S. Coast Guard's Most Daring Sea Rescue Target entity description: "The Finest Hours: The True Story of the U.S. Coast Guard's Most Daring Sea Rescue" is a nonfiction book that recounts the harrowing 1952 rescue mission off the coast of Cape Cod, in which Coast Guard crews braved a brutal nor’easter to save the crews of two split oil tankers.
-
A.
The Finest Hours
chosen
The Finest Hours is a 2016 American disaster drama film depicting the true story of a daring U.S. Coast Guard rescue off the New England coast during a brutal 1952 nor’easter.
-
B.
Lone Survivor
Lone Survivor is a 2013 war film based on the true story of a Navy SEAL team’s ill-fated mission in Afghanistan, adapted from Marcus Luttrell’s memoir.
-
C.
In the Heart of the Sea
In the Heart of the Sea is a historical adventure-drama film depicting the real-life 1820 sinking of the whaling ship Essex, an event that inspired Herman Melville’s Moby-Dick.
-
D.
Endurance: Shackleton’s Incredible Voyage
Endurance: Shackleton’s Incredible Voyage is a nonfiction book by Alfred Lansing that recounts Sir Ernest Shackleton’s harrowing 1914–1917 Antarctic expedition and the crew’s remarkable survival after their ship was trapped and crushed by ice.
-
E.
Unbroken: A World War II Story of Survival, Resilience, and Redemption
"Unbroken: A World War II Story of Survival, Resilience, and Redemption" is a nonfiction book by Laura Hillenbrand that chronicles the harrowing wartime experiences and remarkable endurance of American Olympian and airman Louis Zamperini.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44f0dd48190a78662b5998a6722 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91f437c8190ada4d1c3708faedd |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb1ad32a4819088e5831f3d74ea4e |
completed | May 8, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb316479c81909343196bb89e5e57 |
completed | May 8, 2026, 9:55 a.m. |
Created at: April 10, 2026, 1:25 a.m.