Triple

T10280684
Position Surface form Disambiguated ID Type / Status
Subject Debbie Rowe E241091 entity
Predicate name P16 FINISHED
Object Debbie Rowe E241091 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: Debbie Rowe | Statement: [Debbie Rowe, name, Debbie Rowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debbie Rowe
Context triple: [Debbie Rowe, name, Debbie Rowe]
  • A. Debbie Rowe chosen
    Debbie Rowe is an American nurse best known as Michael Jackson’s ex-wife and the mother of two of his children.
  • B. Sandy Rogers
    Sandy Rogers is one of the adopted children of American singer, actress, and cowgirl icon Dale Evans and her husband Roy Rogers.
  • C. Dyan Cannon
    Dyan Cannon is an American actress, director, and producer known for her work in film and television since the 1960s, as well as for her high-profile marriage to Cary Grant.
  • D. Arlene Howell
    Arlene Howell is an American actress best known for her role as the secretary Melody Lee Mercer on the television detective series "Bourbon Street Beat."
  • E. Cheryl White
    Cheryl White is a supporting character in the sports drama film "McFarland, USA," depicted as part of the community surrounding the high school cross-country team.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a0c90c8190ad6ee479a32e5a95 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f3814dc8190b9da0ee680209d51 completed April 10, 2026, 6:56 a.m.
Created at: April 6, 2026, 11:38 a.m.