Triple

T12295225
Position Surface form Disambiguated ID Type / Status
Subject Isabel Lucas E293066 entity
Predicate name P16 FINISHED
Object Isabel Lucas E293066 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: Isabel Lucas | Statement: [Isabel Lucas, name, Isabel Lucas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabel Lucas
Context triple: [Isabel Lucas, name, Isabel Lucas]
  • A. Isabel Lucas chosen
    Isabel Lucas is an Australian actress known for her roles in films such as "Transformers: Revenge of the Fallen," "Immortals," and various Australian television series.
  • 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 Bradley
    Isabel Bradley is a central character in the 1946 film adaptation of W. Somerset Maugham's "The Razor's Edge," known as a sophisticated, ambitious socialite whose choices profoundly affect the protagonist's spiritual journey.
  • D. Isabel Denny
    Isabel Denny was the wife of English actor and aviator Reginald Denny, known primarily in relation to his life and career.
  • E. Isabel Jewell
    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."
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed7251c8190b94d7cd75ad49b9c completed April 10, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685205608190b504ab6e7c73ee51 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:52 p.m.