Triple

T19879921
Position Surface form Disambiguated ID Type / Status
Subject Meet Dave E477742 entity
Predicate producer P490 FINISHED
Object Michael Bostick
Michael Bostick is an American film producer known for his work on a variety of Hollywood comedies and family-oriented movies.
 E691957 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: Michael Bostick | Statement: [Meet Dave, producer, Michael Bostick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Bostick
Context triple: [Meet Dave, producer, Michael Bostick]
  • A. Michael Bostick
    Michael Bostick is a film producer known for his work on major Hollywood comedies and family films, including the hit movie "Bruce Almighty."
  • B. Richard Stolley
    Richard Stolley was an influential American magazine editor best known for shaping modern celebrity journalism as the founding managing editor of People magazine.
  • C. Richard Berkling
    Richard Berkling is a Swedish sports executive best known for serving as chairman of the football club IFK Göteborg.
  • D. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • E. Richard Feetham
    Richard Feetham was a South African lawyer, judge, and politician known for his role in constitutional and municipal reform in South Africa and other parts of the British Empire.
  • 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: Michael Bostick
Triple: [Meet Dave, producer, Michael Bostick]
Generated description
Michael Bostick is an American film producer known for his work on a variety of Hollywood comedies and family-oriented movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Bostick
Target entity description: Michael Bostick is an American film producer known for his work on a variety of Hollywood comedies and family-oriented movies.
  • A. Michael Bostick chosen
    Michael Bostick is a film producer known for his work on major Hollywood comedies and family films, including the hit movie "Bruce Almighty."
  • B. Richard Stolley
    Richard Stolley was an influential American magazine editor best known for shaping modern celebrity journalism as the founding managing editor of People magazine.
  • C. Richard Berkling
    Richard Berkling is a Swedish sports executive best known for serving as chairman of the football club IFK Göteborg.
  • D. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • E. Richard Feetham
    Richard Feetham was a South African lawyer, judge, and politician known for his role in constitutional and municipal reform in South Africa and other parts of the British Empire.
  • F. None of above.

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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658de4b288190a41bee67f570be1e completed April 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c5707cb081908232dc398f7574cc completed May 16, 2026, 7:28 p.m.
NEDg Description generation batch_6a08c5e61e608190b0d6a7ec415658dd completed May 16, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_6a08c64d463c81909cfd2aabec65397d completed May 16, 2026, 7:32 p.m.
Created at: April 10, 2026, 1:52 p.m.