Triple
T14196628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Basilone |
E351853
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John Basilone was a highly decorated United States Marine Corps gunnery sergeant and Medal of Honor recipient renowned for his heroism during World War II.
|
E1088788
|
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: John | Statement: [John Basilone, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Basilone, givenName, John]
-
A.
John
John is the given name of John Cockcroft, a pioneering British physicist and Nobel laureate known for his work on nuclear physics and particle acceleration.
-
B.
John
John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
-
C.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
D.
John
John is the given name of John Williams Walker, an early 19th-century American politician and U.S. Senator from Alabama.
-
E.
John
John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
- 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: John Triple: [John Basilone, givenName, John]
Generated description
John Basilone was a highly decorated United States Marine Corps gunnery sergeant and Medal of Honor recipient renowned for his heroism during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John Basilone was a highly decorated United States Marine Corps gunnery sergeant and Medal of Honor recipient renowned for his heroism during World War II.
-
A.
John
John W. "Iron Mike" O'Daniel was a highly decorated U.S. Army lieutenant general known for his leadership in World War II and the Korean War.
-
B.
John
John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
-
C.
John
John is the given name of John Hersey, the American writer and journalist renowned for his groundbreaking reportage on the aftermath of the Hiroshima bombing.
-
D.
John
John is the given name of John Hays Hammond Jr., an American inventor known for his pioneering work in radio control and naval weaponry.
-
E.
John
John is the given name of John Bardeen, the American physicist who uniquely won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
- F. None of above. chosen
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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e30f208190b61c1c7bd3501156 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324b86748190b3e0a39383969cc7 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd331562308190a0a2dfcc4a0d26a0 |
completed | May 8, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd338f13dc8190b264534ed9a78cb5 |
completed | May 8, 2026, 12:51 a.m. |
Created at: April 10, 2026, 1:04 a.m.