Triple

T16982578
Position Surface form Disambiguated ID Type / Status
Subject Isabel Jewell E411981 entity
Predicate name P16 FINISHED
Object Isabel Jewell 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 Jewell | Statement: [Isabel Jewell, name, Isabel Jewell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabel Jewell
Context triple: [Isabel Jewell, name, Isabel Jewell]
  • A. Isabel Jewell chosen
    Isabel Jewell was an American film and stage actress of the 1930s and 1940s, known for her character roles in Hollywood classics such as "Manhattan Melodrama" and "Gone with the Wind."
  • B. 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.
  • C. Isabel Denny
    Isabel Denny was the wife of English actor and aviator Reginald Denny, known primarily in relation to his life and career.
  • D. Isabella Townsend
    Isabella Townsend is a British aristocrat and former fashion model known for her work in the 1980s and 1990s and her connections to prominent social and royal circles.
  • E. Isabel Dodge
    Isabel Dodge was an American heiress and socialite from the prominent Dodge automobile family, known for her involvement in high society and thoroughbred horse racing.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18830ac8190a20c89a87379ae94 completed April 18, 2026, 6:46 p.m.
Created at: April 10, 2026, 5:32 a.m.