Triple

T23264325
Position Surface form Disambiguated ID Type / Status
Subject Dirty Mary, Crazy Larry E582103 entity
Predicate editedBy P1954 FINISHED
Object Christopher Holmes NE NERFINISHED

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: Christopher Holmes | Statement: [Dirty Mary, Crazy Larry, editedBy, Christopher Holmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Holmes
Context triple: [Dirty Mary, Crazy Larry, editedBy, Christopher Holmes]
  • A. Christopher Holmes chosen
    Christopher Holmes is an editor known for his work on the film "Five Easy Pieces."
  • B. Chris Holmes
    Chris Holmes is a music producer known for his work on the television drama series "The Neighborhood."
  • C. Chris Holmes
    Chris Holmes is an American heavy metal guitarist best known for his work with the band W.A.S.P. and his involvement in the Los Angeles glam metal scene.
  • D. Philip Holmes
    Philip Holmes is a mathematician and mechanical engineer known for his influential work in dynamical systems, chaos theory, and nonlinear mechanics.
  • E. Richard Sibson
    Richard Sibson is a distinguished geologist recognized for his influential work on fault mechanics and earthquake processes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194cb76c48190869915cd93b44fcc completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.