Triple

T17776612
Position Surface form Disambiguated ID Type / Status
Subject Ida Marie Honoré Grant E443785 entity
Predicate middleName P143 FINISHED
Object Marie E27948 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: Marie | Statement: [Ida Marie Honoré Grant, middleName, Marie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie
Context triple: [Ida Marie Honoré Grant, middleName, Marie]
  • A. Marie
    Marie is a supporting character in the psychological thriller film "The Machinist," serving as a compassionate presence in the troubled life of the insomniac protagonist.
  • B. Marie
    Marie is the deceased beloved of the protagonist in Erich Wolfgang Korngold’s opera "Die tote Stadt," whose memory and spectral presence drive the work’s psychological drama.
  • C. Marie
    "Marie" is an adventure novel by H. Rider Haggard that follows the dramatic frontier life and romantic struggles of English settler Allan Quatermain in 19th-century South Africa.
  • D. Marie chosen
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • E. Marie
    "Marie" is a 1985 biographical drama film directed by Roger Donaldson, depicting the true story of whistleblower Marie Ragghianti’s fight against political corruption in Tennessee.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871d43a481908aacde69bd8091b0 completed April 19, 2026, 7:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efc9c0e88190977da0421df6b1a7 completed May 12, 2026, 9:15 a.m.
Created at: April 10, 2026, 10:12 a.m.