Triple

T13792332
Position Surface form Disambiguated ID Type / Status
Subject Waist Deep E331428 entity
Predicate producer P490 FINISHED
Object Derek Dauchy
Derek Dauchy is a film producer known for his work on the action-crime drama movie "Waist Deep."
E1066037 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: Derek Dauchy | Statement: [Waist Deep, producer, Derek Dauchy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derek Dauchy
Context triple: [Waist Deep, producer, Derek Dauchy]
  • A. Derek Warfield
    Derek Warfield is an Irish singer, songwriter, and historian best known as a founding member and longtime leader of the Irish folk and rebel music group The Wolfe Tones.
  • B. Derek Armstead
    Derek Armstead is an American local politician who serves as the mayor of Linden, New Jersey.
  • C. Derek Pestridge
    Derek Pestridge is a football executive best known for serving as the chairperson of English non-league club Ashford United F.C.
  • D. Derek Watkins
    Derek Watkins, better known as Fonzworth Bentley, is an American musician, producer, and entertainer recognized for his creative contributions to hip-hop and R&B projects.
  • E. Derek Austin
    Derek Austin is a British information scientist and librarian best known for his work in classification theory and contributions to the development of library and information retrieval systems.
  • 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: Derek Dauchy
Triple: [Waist Deep, producer, Derek Dauchy]
Generated description
Derek Dauchy is a film producer known for his work on the action-crime drama movie "Waist Deep."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Derek Dauchy
Target entity description: Derek Dauchy is a film producer known for his work on the action-crime drama movie "Waist Deep."
  • A. Derek Warfield
    Derek Warfield is an Irish singer, songwriter, and historian best known as a founding member and longtime leader of the Irish folk and rebel music group The Wolfe Tones.
  • B. Derek Armstead
    Derek Armstead is an American local politician who serves as the mayor of Linden, New Jersey.
  • C. Derek Pestridge
    Derek Pestridge is a football executive best known for serving as the chairperson of English non-league club Ashford United F.C.
  • D. Derek Watkins
    Derek Watkins, better known as Fonzworth Bentley, is an American musician, producer, and entertainer recognized for his creative contributions to hip-hop and R&B projects.
  • E. Derek Austin
    Derek Austin is a British information scientist and librarian best known for his work in classification theory and contributions to the development of library and information retrieval systems.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0258a1408190a837d17c6d6a2bd4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e3642481908a9b84d8d71fb4d4 completed May 3, 2026, 9:40 p.m.
NEDg Description generation batch_69f7c1e73fb481909f89ab3c0e9fb7d0 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3396f7c8190987079bf24ac8695 completed May 3, 2026, 9:50 p.m.
Created at: April 9, 2026, 10:11 p.m.