Triple

T9682328
Position Surface form Disambiguated ID Type / Status
Subject Reginald Gardiner E234313 entity
Predicate placeOfDeath P21 FINISHED
Object Westwood E19989 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: Westwood | Statement: [Reginald Gardiner, placeOfDeath, Westwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westwood
Context triple: [Reginald Gardiner, placeOfDeath, Westwood]
  • A. Westwood chosen
    Westwood is a prominent Los Angeles neighborhood best known as the home of UCLA and the popular Westwood Village commercial district.
  • B. Westwood
    Westwood is a commuter rail station serving passengers on the Long Island Rail Road’s West Hempstead Branch in Nassau County, New York.
  • C. Westwood
    Westwood is a fictional locale within the Neighborhood of Make-Believe, the puppet-populated fantasy world from the children's television series "Mister Rogers' Neighborhood."
  • D. Westwood
    Westwood is a small unincorporated community in northeastern California known historically as a former lumber mill town.
  • E. Westwood
    Westwood is a suburban town in Norfolk County, Massachusetts, known for its residential character and proximity to Boston.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ccdbcc48190a4a9a70b3f419ac2 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1910192e88190b10409ae62c1c948 completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:16 p.m.