Triple
T21480516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bright Lights: Starring Carrie Fisher and Debbie Reynolds |
E529974
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dan Cogan |
—
|
NE NERFINISHED |
How this triple was built (3 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: Dan Cogan | Statement: [Bright Lights: Starring Carrie Fisher and Debbie Reynolds, producer, Dan Cogan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Cogan Context triple: [Bright Lights: Starring Carrie Fisher and Debbie Reynolds, producer, Dan Cogan]
-
A.
Dan Fagan
Dan Fagan is a notable individual recognized for achievements associated with the surname Fagan.
-
B.
Dan Haggerty
Dan Haggerty was an American actor best known for his portrayal of the gentle mountain man in the film and television series "The Life and Times of Grizzly Adams."
-
C.
Dan Crawford
Dan Crawford was a British theatre producer and director best known as the founder and long-time artistic director of London’s influential fringe venue, the King’s Head Theatre.
-
D.
Daniel Horgan
Daniel Horgan is a machine learning researcher known for co-introducing Universal Value Function Approximators, a framework for generalizing value functions across goals in reinforcement learning.
-
E.
Dan Cracchiolo
Dan Cracchiolo is a film producer known for his work on action movies, including the Steven Seagal vehicle "Exit Wounds."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Cogan Target entity description: Dan Cogan is an Academy Award–winning American film producer best known for his work on acclaimed documentary features.
-
A.
Dan Fagan
Dan Fagan is a notable individual recognized for achievements associated with the surname Fagan.
-
B.
Dan Haggerty
Dan Haggerty was an American actor best known for his portrayal of the gentle mountain man in the film and television series "The Life and Times of Grizzly Adams."
-
C.
Dan Crawford
Dan Crawford was a British theatre producer and director best known as the founder and long-time artistic director of London’s influential fringe venue, the King’s Head Theatre.
-
D.
Daniel Horgan
Daniel Horgan is a machine learning researcher known for co-introducing Universal Value Function Approximators, a framework for generalizing value functions across goals in reinforcement learning.
-
E.
Dan Cracchiolo
Dan Cracchiolo is a film producer known for his work on action movies, including the Steven Seagal vehicle "Exit Wounds."
- F. None of above. chosen
Provenance (2 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea1b0130819088b8e96ddbb29317 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:20 p.m.