Triple

T9298969
Position Surface form Disambiguated ID Type / Status
Subject Casino Royale (1954 TV production) E223711 entity
Predicate producer P490 FINISHED
Object Gregg Garrison
Gregg Garrison was an American television producer and director best known for his work on variety and music programs during the early decades of TV.
E802784 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: Gregg Garrison | Statement: [Casino Royale (1954 TV production), producer, Gregg Garrison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregg Garrison
Context triple: [Casino Royale (1954 TV production), producer, Gregg Garrison]
  • A. Greg Garrison
    Greg Garrison is an American bassist and composer best known for his work in progressive bluegrass and acoustic music, including his tenure with the Punch Brothers.
  • B. Jeff Gourson
    Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
  • C. Gregg Johnson
    Gregg Johnson is a fictional character appearing in the 1949 adventure film "Mighty Joe Young."
  • D. Greg DePaul
    Greg DePaul is an American screenwriter and playwright best known for co-writing the romantic comedy film "Bride Wars."
  • E. Darren Lemke
    Darren Lemke is an American screenwriter and film producer known for working on fantasy and adventure films such as Jack the Giant Slayer and the Goosebumps movie adaptation.
  • 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: Gregg Garrison
Triple: [Casino Royale (1954 TV production), producer, Gregg Garrison]
Generated description
Gregg Garrison was an American television producer and director best known for his work on variety and music programs during the early decades of TV.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gregg Garrison
Target entity description: Gregg Garrison was an American television producer and director best known for his work on variety and music programs during the early decades of TV.
  • A. Greg Garrison
    Greg Garrison is an American bassist and composer best known for his work in progressive bluegrass and acoustic music, including his tenure with the Punch Brothers.
  • B. Jeff Gourson
    Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
  • C. Gregg Johnson
    Gregg Johnson is a fictional character appearing in the 1949 adventure film "Mighty Joe Young."
  • D. Greg DePaul
    Greg DePaul is an American screenwriter and playwright best known for co-writing the romantic comedy film "Bride Wars."
  • E. Darren Lemke
    Darren Lemke is an American screenwriter and film producer known for working on fantasy and adventure films such as Jack the Giant Slayer and the Goosebumps movie adaptation.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08cf50cc8190a025f478dff4f9fd completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d12cc59610819090adf2b4c3f5cec3 completed April 4, 2026, 3:22 p.m.
NEDg Description generation batch_69d12fc350c481909fff22872ee2a181 completed April 4, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69d13079b3e08190bfa53a3969afec4e completed April 4, 2026, 3:38 p.m.
Created at: March 30, 2026, 7:36 p.m.