Triple
T7436980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Closer |
E171639
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Cary Brokaw
Cary Brokaw is an American film and television producer known for his work on acclaimed literary adaptations and character-driven dramas.
|
E662675
|
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: Cary Brokaw | Statement: [Closer, producer, Cary Brokaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cary Brokaw Context triple: [Closer, producer, Cary Brokaw]
-
A.
Tom Brokaw
Tom Brokaw is an American television journalist and author best known for serving as a longtime anchor and managing editor of NBC Nightly News.
-
B.
Jennifer Brokaw
Jennifer Brokaw is an American physician and patient advocate, best known as the daughter of longtime NBC news anchor Tom Brokaw.
-
C.
George Webb
George Webb was an early 20th-century film actor who appeared in silent-era productions, including the 1917 drama "The Kingdom of Love."
-
D.
Dan Rather
Dan Rather is an American journalist and former CBS Evening News anchor known for his hard-hitting reporting and decades-long presence on national television news.
-
E.
Bill Whitaker
Bill Whitaker is an American television journalist best known as a longtime correspondent for the CBS news magazine program "60 Minutes."
- 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: Cary Brokaw Triple: [Closer, producer, Cary Brokaw]
Generated description
Cary Brokaw is an American film and television producer known for his work on acclaimed literary adaptations and character-driven dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cary Brokaw Target entity description: Cary Brokaw is an American film and television producer known for his work on acclaimed literary adaptations and character-driven dramas.
-
A.
Tom Brokaw
Tom Brokaw is an American television journalist and author best known for serving as a longtime anchor and managing editor of NBC Nightly News.
-
B.
Jennifer Brokaw
Jennifer Brokaw is an American physician and patient advocate, best known as the daughter of longtime NBC news anchor Tom Brokaw.
-
C.
George Webb
George Webb was an early 20th-century film actor who appeared in silent-era productions, including the 1917 drama "The Kingdom of Love."
-
D.
Dan Rather
Dan Rather is an American journalist and former CBS Evening News anchor known for his hard-hitting reporting and decades-long presence on national television news.
-
E.
Bill Whitaker
Bill Whitaker is an American television journalist best known as a longtime correspondent for the CBS news magazine program "60 Minutes."
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f349399c8190b46d5882ece2e73a |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f23afb48190ae57fb952b2721c3 |
completed | March 28, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_69c81fb9d2e48190905a26a0b6377665 |
completed | March 28, 2026, 6:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82010d5048190a6182d41e4979012 |
completed | March 28, 2026, 6:38 p.m. |
Created at: March 27, 2026, 3:13 p.m.