Triple
T15656552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parkland |
E376456
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Matt Jackson
Matt Jackson is a film producer known for his work on the drama-thriller "Parkland," which chronicles the events surrounding the assassination of President John F. Kennedy.
|
E1169171
|
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: Matt Jackson | Statement: [Parkland, producer, Matt Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Jackson Context triple: [Parkland, producer, Matt Jackson]
-
A.
Matt Jackson
Matt Jackson is a film producer known for his work on high-profile movies including the poker drama "Molly's Game."
-
B.
Michael Wheeler
Michael Wheeler is the son of April Wheeler, a central character in Richard Yates’s novel "Revolutionary Road."
-
C.
Russ Jackson
Russ Jackson is an American businessman and classic car enthusiast best known as the co-founder of the Barrett-Jackson Collector Car Auction, one of the world’s premier collector car auction companies.
-
D.
Russ Jackson
Russ Jackson is a legendary Canadian Football League quarterback widely regarded as one of the greatest Canadian-born players in CFL history.
-
E.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
- 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: Matt Jackson Triple: [Parkland, producer, Matt Jackson]
Generated description
Matt Jackson is a film producer known for his work on the drama-thriller "Parkland," which chronicles the events surrounding the assassination of President John F. Kennedy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Jackson Target entity description: Matt Jackson is a film producer known for his work on the drama-thriller "Parkland," which chronicles the events surrounding the assassination of President John F. Kennedy.
-
A.
Matt Jackson
Matt Jackson is a film producer known for his work on high-profile movies including the poker drama "Molly's Game."
-
B.
Michael Wheeler
Michael Wheeler is the son of April Wheeler, a central character in Richard Yates’s novel "Revolutionary Road."
-
C.
Russ Jackson
Russ Jackson is an American businessman and classic car enthusiast best known as the co-founder of the Barrett-Jackson Collector Car Auction, one of the world’s premier collector car auction companies.
-
D.
Russ Jackson
Russ Jackson is a legendary Canadian Football League quarterback widely regarded as one of the greatest Canadian-born players in CFL history.
-
E.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef1f83c8190bbf65eed162cbd55 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67994fbc819090f2da267888e8fb |
completed | May 9, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_69ff6810af4c8190aa6cae98a1b8b5ce |
completed | May 9, 2026, 5 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6888a85481909e8cdd34ed230fa4 |
completed | May 9, 2026, 5:02 p.m. |
Created at: April 10, 2026, 4:15 a.m.