Triple

T12370506
Position Surface form Disambiguated ID Type / Status
Subject John E. Wool E294987 entity
Predicate familyName P18 FINISHED
Object Wool E732739 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: Wool | Statement: [John E. Wool, familyName, Wool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wool
Context triple: [John E. Wool, familyName, Wool]
  • A. Wool chosen
    Wool is a post-apocalyptic science fiction novel by Hugh Howey, known for its serialized origin and its depiction of a society living in an underground silo.
  • B. Cotten
    Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
  • C. Breeda Wool
    Breeda Wool is an American actress known for her roles in television dramas and thrillers, including a prominent part in the series "Mr. Mercedes."
  • D. Abbe Wool
    Abbe Wool is an American screenwriter best known for co-writing the cult biographical film "Sid and Nancy" about Sex Pistols bassist Sid Vicious and his girlfriend Nancy Spungen.
  • E. Wooli
    Wooli is a small coastal village in New South Wales, Australia, known for its beaches, fishing, and proximity to Yuraygir National Park.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa65a608190a1597a49751185a8 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abfd9c081909803691d3fc4f149 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.