Triple
T13709460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Innocent Man |
E328730
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Darrell Larson
Darrell Larson is an American actor and director known for his character roles in film and television since the 1970s.
|
E1080598
|
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: Darrell Larson | Statement: [The Last Innocent Man, castMember, Darrell Larson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darrell Larson Context triple: [The Last Innocent Man, castMember, Darrell Larson]
-
A.
Darrell Schweitzer
Darrell Schweitzer is an American writer, critic, and editor best known for his work in fantasy and horror fiction and his long association with the magazine Weird Tales.
-
B.
Dale Beldin
Dale Beldin is a film editor best known for his work on the action-comedy movie "Beverly Hills Cop III."
-
C.
Larry Darrell
Larry Darrell is the spiritually searching World War I veteran protagonist of W. Somerset Maugham’s novel "The Razor’s Edge," known for rejecting conventional success to pursue enlightenment.
-
D.
Dale Eunson
Dale Eunson was an American writer and magazine editor best known for his short stories and screenwriting work in mid-20th-century Hollywood.
-
E.
Dean Paul Larson
Dean Paul Larson is a fictional character from the television series "The Chair."
- 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: Darrell Larson Triple: [The Last Innocent Man, castMember, Darrell Larson]
Generated description
Darrell Larson is an American actor and director known for his character roles in film and television since the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darrell Larson Target entity description: Darrell Larson is an American actor and director known for his character roles in film and television since the 1970s.
-
A.
Darrell Schweitzer
Darrell Schweitzer is an American writer, critic, and editor best known for his work in fantasy and horror fiction and his long association with the magazine Weird Tales.
-
B.
Dale Beldin
Dale Beldin is a film editor best known for his work on the action-comedy movie "Beverly Hills Cop III."
-
C.
Larry Darrell
Larry Darrell is the spiritually searching World War I veteran protagonist of W. Somerset Maugham’s novel "The Razor’s Edge," known for rejecting conventional success to pursue enlightenment.
-
D.
Dale Eunson
Dale Eunson was an American writer and magazine editor best known for his short stories and screenwriting work in mid-20th-century Hollywood.
-
E.
Dean Paul Larson
Dean Paul Larson is a fictional character from the television series "The Chair."
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd08852a08190b9983e0c3058671a |
completed | May 7, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_69fcd4cc2f4c81909bd30cda58fc2393 |
completed | May 7, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd5c128c0819081edf72e25c6bc98 |
completed | May 7, 2026, 6:11 p.m. |
Created at: April 9, 2026, 9:54 p.m.