Triple

T21358109
Position Surface form Disambiguated ID Type / Status
Subject Isabel Bigley E526690 entity
Predicate name P16 FINISHED
Object Isabel Bigley NE NERFINISHED

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: Isabel Bigley | Statement: [Isabel Bigley, name, Isabel Bigley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabel Bigley
Context triple: [Isabel Bigley, name, Isabel Bigley]
  • A. Isabel Bigley chosen
    Isabel Bigley was an American actress and singer best known for her Tony Award–winning performance as Sarah Brown in the original Broadway production of the musical "Guys and Dolls."
  • B. Isabel Denny
    Isabel Denny was the wife of English actor and aviator Reginald Denny, known primarily in relation to his life and career.
  • C. Isabel Robey
    Isabel Robey was one of the accused women in the early 17th-century Pendle witch trials, a notorious series of English witchcraft prosecutions.
  • D. Rebecca Harris
    Rebecca Harris is a fictional character portrayed by Jennifer Carpenter, best known as the determined FBI agent in the television series "Limitless."
  • E. Rebecca Harris
    Rebecca Harris is an actress known for her role in the television series "Outsiders."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa2d11c81908608851940e4e6d3 completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:07 p.m.