Triple

T3757632
Position Surface form Disambiguated ID Type / Status
Subject Drive, He Said E82085 entity
Predicate editedBy P1954 FINISHED
Object Christopher Holmes E250454 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: Christopher Holmes | Statement: [Drive, He Said, editedBy, Christopher Holmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Holmes
Context triple: [Drive, He Said, editedBy, Christopher Holmes]
  • A. Christopher Holmes chosen
    Christopher Holmes is an editor known for his work on the film "Five Easy Pieces."
  • B. Philip Holmes
    Philip Holmes is a mathematician and mechanical engineer known for his influential work in dynamical systems, chaos theory, and nonlinear mechanics.
  • C. Richard Sibson
    Richard Sibson is a distinguished geologist recognized for his influential work on fault mechanics and earthquake processes.
  • D. Geoffrey Haslam
    Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
  • E. Paul Edgecombe
    Paul Edgecombe is the central prison guard protagonist of Stephen King’s novel "The Green Mile," whose reflective narration recounts the supernatural and moral events on death row.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc04d348190b0e4a90d18bdd160 completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c6b2a488190a621cc223c673615 completed March 14, 2026, 8:29 a.m.
Created at: March 8, 2026, 3:35 p.m.