Triple

T1809573
Position Surface form Disambiguated ID Type / Status
Subject Troop Zero E40299 entity
Predicate cinematographer P1953 FINISHED
Object James Whitaker
James Whitaker is a film cinematographer known for his work on feature films such as the comedy-drama "Troop Zero."
E216471 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: James Whitaker | Statement: [Troop Zero, cinematographer, James Whitaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Whitaker
Context triple: [Troop Zero, cinematographer, James Whitaker]
  • A. Mark Whitacre
    Mark Whitacre is a real-life American whistleblower and former corporate executive whose story of exposing price-fixing at Archer Daniels Midland was dramatized in the film "The Informant!".
  • B. Mark Schweiker
    Mark Schweiker is an American politician who served as the 44th governor of Pennsylvania in the early 2000s.
  • C. Richard Priebus
    Richard Priebus is the father of former Republican National Committee chairman and White House Chief of Staff Reince Priebus.
  • D. Benjamin A. Smith III
    Benjamin A. Smith III is an individual known primarily as the son and namesake of Benjamin A. Smith II.
  • E. Mike Richardson
    Mike Richardson is an American comic book publisher and film producer best known as the founder of Dark Horse Comics and for producing numerous comic-based films and television projects.
  • 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: James Whitaker
Triple: [Troop Zero, cinematographer, James Whitaker]
Generated description
James Whitaker is a film cinematographer known for his work on feature films such as the comedy-drama "Troop Zero."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: James Whitaker
Target entity description: James Whitaker is a film cinematographer known for his work on feature films such as the comedy-drama "Troop Zero."
  • A. Mark Whitacre
    Mark Whitacre is a real-life American whistleblower and former corporate executive whose story of exposing price-fixing at Archer Daniels Midland was dramatized in the film "The Informant!".
  • B. Mark Schweiker
    Mark Schweiker is an American politician who served as the 44th governor of Pennsylvania in the early 2000s.
  • C. Richard Priebus
    Richard Priebus is the father of former Republican National Committee chairman and White House Chief of Staff Reince Priebus.
  • D. Benjamin A. Smith III
    Benjamin A. Smith III is an individual known primarily as the son and namesake of Benjamin A. Smith II.
  • E. Mike Richardson
    Mike Richardson is an American comic book publisher and film producer best known as the founder of Dark Horse Comics and for producing numerous comic-based films and television projects.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c310d88190bfd9c27fa238e648 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c192f08190a1a134e541be1103 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf5b31274819086c266c1a8ba2cd8 completed March 8, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69adf6108c988190b992de20cf287da7 completed March 8, 2026, 10:20 p.m.
Created at: March 4, 2026, 7:32 p.m.