Triple

T15492912
Position Surface form Disambiguated ID Type / Status
Subject Harry Woods E378741 entity
Predicate name P16 FINISHED
Object Harry Woods E378741 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: Harry Woods | Statement: [Harry Woods, name, Harry Woods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Woods
Context triple: [Harry Woods, name, Harry Woods]
  • A. Harry Woods chosen
    Harry Woods was an American character actor best known for his prolific portrayals of villains in numerous Hollywood films from the silent era through the 1950s.
  • B. John Woodvine
    John Woodvine is a British character actor known for his extensive work in television, film, and theatre, often portraying authoritative or military figures.
  • C. Wallace Woods
    Wallace Woods is a historic residential neighborhood in Covington, Kentucky, known for its early 20th-century architecture and tree-lined streets.
  • D. Don Woods
    Don Woods is an American computer programmer best known for co-creating and expanding the pioneering text adventure game Colossal Cave Adventure.
  • E. Mark Woodward
    Mark Woodward is the son of Welsh singer Tom Jones, known for his work as his father's longtime manager.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3660fc6c81908caf1729260a8338 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:49 a.m.