Triple

T2129702
Position Surface form Disambiguated ID Type / Status
Subject White Chicks E46507 entity
Predicate editedBy P1954 FINISHED
Object Jeff Gourson
Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
E346810 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: Jeff Gourson | Statement: [White Chicks, editedBy, Jeff Gourson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Gourson
Context triple: [White Chicks, editedBy, Jeff Gourson]
  • A. Kevin Gage
    Kevin Gage is an American actor best known for his intense supporting roles in films such as "Heat" and "G.I. Jane."
  • B. Mike Gaffey
    Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
  • C. Ken Schretzmann
    Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
  • D. Eric McLeod
    Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
  • E. Scott Duxbury
    Scott Duxbury is a British football executive best known for his long-standing leadership role at Watford Football Club.
  • 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: Jeff Gourson
Triple: [White Chicks, editedBy, Jeff Gourson]
Generated description
Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeff Gourson
Target entity description: Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
  • A. Kevin Gage
    Kevin Gage is an American actor best known for his intense supporting roles in films such as "Heat" and "G.I. Jane."
  • B. Mike Gaffey
    Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
  • C. Ken Schretzmann
    Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
  • D. Eric McLeod
    Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
  • E. Scott Duxbury
    Scott Duxbury is a British football executive best known for his long-standing leadership role at Watford Football Club.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb77ccc4819087bee5dbb91b5ae8 completed March 7, 2026, 5:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2f39ad7488190a7604a113c2e2bb3 completed March 12, 2026, 5:10 p.m.
NEDg Description generation batch_69b2ff426a4c8190a75f6718c25ed15e completed March 12, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69b313b260348190aa3360a76327e636 completed March 12, 2026, 7:27 p.m.
Created at: March 4, 2026, 7:44 p.m.