Triple

T11667511
Position Surface form Disambiguated ID Type / Status
Subject William Witney E277290 entity
Predicate name P16 FINISHED
Object William Witney E277290 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: William Witney | Statement: [William Witney, name, William Witney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Witney
Context triple: [William Witney, name, William Witney]
  • A. William Witney chosen
    William Witney was an American film director best known for his prolific work on action-packed B-movies and serials, particularly Westerns, during Hollywood’s mid-20th-century studio era.
  • B. Tim Holt
    Tim Holt was an American film actor best known for his roles in Westerns and classic Hollywood films of the 1930s and 1940s.
  • C. L. Guy Wilky
    L. Guy Wilky was a pioneering American cinematographer best known as the founder of the American Society of Cinematographers.
  • D. Wally Holbrook
    Wally Holbrook is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Holbrook.
  • E. Joe E. Brown
    Joe E. Brown was a popular American comedian and film actor of the 1930s and 1940s, known for his wide-mouthed grin and roles in numerous Hollywood comedies.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a440d8a481909a13c97813408bc8 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13b36ae4819096e6dfca23a69250 completed April 27, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:39 p.m.