Triple
T7621370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nichols |
E172500
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Bill Nichols
Bill Nichols is a prominent American film theorist best known for pioneering the study and classification of documentary film modes.
|
E677288
|
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: Bill Nichols | Statement: [Nichols, hasNotableBearer, Bill Nichols]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Nichols Context triple: [Nichols, hasNotableBearer, Bill Nichols]
-
A.
Don Nicholl
Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
-
B.
Brian Van Holt
Brian Van Holt is an American actor known for his roles in films like "Black Hawk Down" and "Den of Thieves" as well as the TV series "Cougar Town."
-
C.
Ron Jensen
Ron Jensen is an American politician who has served as the mayor of Grand Prairie, Texas.
-
D.
Ron Albert
Ron Albert is a recording engineer best known for his work on classic rock albums such as Eric Clapton’s "461 Ocean Boulevard."
-
E.
Tom Hiel
Tom Hiel is an American film and television composer known for scoring a variety of genre projects, including cult and horror films.
- 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: Bill Nichols Triple: [Nichols, hasNotableBearer, Bill Nichols]
Generated description
Bill Nichols is a prominent American film theorist best known for pioneering the study and classification of documentary film modes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bill Nichols Target entity description: Bill Nichols is a prominent American film theorist best known for pioneering the study and classification of documentary film modes.
-
A.
Don Nicholl
Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
-
B.
Brian Van Holt
Brian Van Holt is an American actor known for his roles in films like "Black Hawk Down" and "Den of Thieves" as well as the TV series "Cougar Town."
-
C.
Ron Jensen
Ron Jensen is an American politician who has served as the mayor of Grand Prairie, Texas.
-
D.
Ron Albert
Ron Albert is a recording engineer best known for his work on classic rock albums such as Eric Clapton’s "461 Ocean Boulevard."
-
E.
Tom Hiel
Tom Hiel is an American film and television composer known for scoring a variety of genre projects, including cult and horror films.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa62870c8190b17f44eb7a3ff2ad |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c868789618819094010e60ef73fdfd |
completed | March 28, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_69c86c244d848190b53a713480761162 |
completed | March 29, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c86c7881788190bc399c485d12d6fa |
completed | March 29, 2026, 12:04 a.m. |
Created at: March 27, 2026, 3:56 p.m.