Triple
T9486383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cochran |
E228771
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Bert Cochran
Bert Cochran was an American socialist activist, writer, and historian known for his role in mid-20th-century leftist politics and labor movements.
|
E809577
|
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: Bert Cochran | Statement: [Cochran, hasNotableBearer, Bert Cochran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bert Cochran Context triple: [Cochran, hasNotableBearer, Bert Cochran]
-
A.
Bud Day
Bud Day was a highly decorated United States Air Force colonel, Medal of Honor recipient, and Vietnam War fighter pilot who became one of America’s most renowned prisoners of war.
-
B.
Arthur Cochran
Arthur Cochran is the central character of the television series "Perfect Harmony," portrayed as a former Princeton music professor who reluctantly leads a small-town church choir.
-
C.
Earl Barret
Earl Barret is a screenwriter best known for his work on the 1989 comedy film "See No Evil, Hear No Evil."
-
D.
Bert Tucker
Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
-
E.
Bud Brigman
Bud Brigman is the deep-sea oil rig foreman and central protagonist in James Cameron's science fiction film "The Abyss."
- 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: Bert Cochran Triple: [Cochran, hasNotableBearer, Bert Cochran]
Generated description
Bert Cochran was an American socialist activist, writer, and historian known for his role in mid-20th-century leftist politics and labor movements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bert Cochran Target entity description: Bert Cochran was an American socialist activist, writer, and historian known for his role in mid-20th-century leftist politics and labor movements.
-
A.
Bud Day
Bud Day was a highly decorated United States Air Force colonel, Medal of Honor recipient, and Vietnam War fighter pilot who became one of America’s most renowned prisoners of war.
-
B.
Arthur Cochran
Arthur Cochran is the central character of the television series "Perfect Harmony," portrayed as a former Princeton music professor who reluctantly leads a small-town church choir.
-
C.
Earl Barret
Earl Barret is a screenwriter best known for his work on the 1989 comedy film "See No Evil, Hear No Evil."
-
D.
Bert Tucker
Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
-
E.
Bud Brigman
Bud Brigman is the deep-sea oil rig foreman and central protagonist in James Cameron's science fiction film "The Abyss."
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8051303881909566126a2688e41c |
completed | April 1, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d178e38d488190a4bc594b12a44baf |
completed | April 4, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_69d179a4006c81909e983559b5fd7698 |
completed | April 4, 2026, 8:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17a3aebfc8190acbe62ac900dd9e7 |
completed | April 4, 2026, 8:53 p.m. |
Created at: March 30, 2026, 7:55 p.m.