Triple
T2644228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Fish |
E62946
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Dan Jinks
Dan Jinks is an American film and television producer best known for acclaimed movies such as "American Beauty" and "Big Fish."
|
E387995
|
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: Dan Jinks | Statement: [Big Fish, producer, Dan Jinks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Jinks Context triple: [Big Fish, producer, Dan Jinks]
-
A.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
B.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
-
C.
Jon Jerde
Jon Jerde was an influential American architect and urban designer known for his experiential, entertainment-focused commercial complexes and innovative approach to public space.
-
D.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
-
E.
Dick Hantak
Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
- 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: Dan Jinks Triple: [Big Fish, producer, Dan Jinks]
Generated description
Dan Jinks is an American film and television producer best known for acclaimed movies such as "American Beauty" and "Big Fish."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Jinks Target entity description: Dan Jinks is an American film and television producer best known for acclaimed movies such as "American Beauty" and "Big Fish."
-
A.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
B.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
-
C.
Jon Jerde
Jon Jerde was an influential American architect and urban designer known for his experiential, entertainment-focused commercial complexes and innovative approach to public space.
-
D.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
-
E.
Dick Hantak
Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd90046dc81908bab3440733f1e98 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f00fe39481908cee24dc57be2b3b |
completed | March 14, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_69b4f1aeef248190922102fcee343239 |
completed | March 14, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f239fd348190a6a1704dab4894b4 |
completed | March 14, 2026, 5:29 a.m. |
Created at: March 6, 2026, 9:53 p.m.