Triple

T12083192
Position Surface form Disambiguated ID Type / Status
Subject Edwina Booth E287734 entity
Predicate hasRelative P367 FINISHED
Object Isabel Booth E287734 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 Booth | Statement: [Edwina Booth, hasRelative, Isabel Booth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabel Booth
Context triple: [Edwina Booth, hasRelative, Isabel Booth]
  • A. Isabel Booth chosen
    Isabel Booth is a member of the Booth family and the sister of American film actress Edwina Booth.
  • B. Elizabeth Booth
    Elizabeth Booth was a 19th-century American woman best known as a member of the prominent Booth theatrical family, daughter of the famed Shakespearean actor Junius Brutus Booth.
  • C. Elizabeth Booth
    Elizabeth Booth is a woman known primarily as the daughter of Mary Ann Holmes Booth.
  • D. Rosalie Booth
    Rosalie Booth was a 19th-century American woman best known as a member of the prominent Booth theatrical family, which included several famous stage actors.
  • E. Isabella Strahan
    Isabella Strahan is an American college student and model best known as the daughter of former NFL star and television personality Michael Strahan.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915124e4c8190b0264c2a09e3c2f3 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65e9693188190b22702216ca273e2 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:48 p.m.