Triple

T9825213
Position Surface form Disambiguated ID Type / Status
Subject Hoosiers E238637 entity
Predicate director P255 FINISHED
Object David Anspaugh E437268 NE FINISHED

How this triple was built (2 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: David Anspaugh | Statement: [Hoosiers, director, David Anspaugh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Anspaugh
Context triple: [Hoosiers, director, David Anspaugh]
  • A. David Anspaugh chosen
    David Anspaugh is an American film and television director best known for directing the sports dramas "Hoosiers" and "Rudy."
  • B. Leland Robinson
    Leland Robinson is the son of influential music producer and Sugar Hill Records co-founder Sylvia Robinson.
  • C. Allan D. Pierce
    Allan D. Pierce is an American acoustical physicist renowned for his foundational contributions to theoretical acoustics and authorship of the influential textbook "Acoustics: An Introduction to Its Physical Principles and Applications."
  • D. Phil Johnston
    Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
  • E. Glenn Shadix
    Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3181c688190afea3b27ee392a30 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5b9110881909405d94e0db40eac completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:31 p.m.