Triple

T2008713
Position Surface form Disambiguated ID Type / Status
Subject Oakwood Memorial Park Cemetery E43642 entity
Predicate hasNotableBurial P196 FINISHED
Object Dub Taylor E80327 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: Dub Taylor | Statement: [Oakwood Memorial Park Cemetery, hasNotableBurial, Dub Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dub Taylor
Context triple: [Oakwood Memorial Park Cemetery, hasNotableBurial, Dub Taylor]
  • A. Dub Taylor chosen
    Dub Taylor was an American character actor best known for his prolific work in Westerns and supporting roles in film and television from the 1930s through the 1990s.
  • B. Dana York
    Dana York is an American woman best known as the widow of rock musician Tom Petty, whom she married in 2001 and remained with until his death.
  • C. Tracy Stevens
    Tracy Stevens is best known as the wife of American basketball coach and executive Brad Stevens.
  • D. Debralee Scott
    Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
  • E. Jody Powell
    Jody Powell was an American political consultant and press secretary best known for serving as White House Press Secretary under President Jimmy Carter.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89be08c81909eb5ea672ea46b2b completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3048a15881909db68dfe7dc7bcf0 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:37 p.m.