Triple

T12580418
Position Surface form Disambiguated ID Type / Status
Subject Margot E300320 entity
Predicate relatedName P3889 FINISHED
Object Marguerite E110139 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: Marguerite | Statement: [Margot, relatedName, Marguerite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marguerite
Context triple: [Margot, relatedName, Marguerite]
  • A. Marguerite
    Marguerite is a 2015 French comedy-drama film directed by Xavier Giannoli, loosely inspired by the life of amateur opera singer Florence Foster Jenkins.
  • B. Marguerite chosen
    Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
  • C. Marguerite
    Marguerite is a talented French sous-chef in the film "The Hundred-Foot Journey," who helps bridge cultural divides through her passion for cuisine and mentorship of the young protagonist.
  • D. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • E. Marguerite Donnadieu
    Marguerite Donnadieu, better known by her pen name Marguerite Duras, was a prominent 20th-century French novelist, playwright, and filmmaker associated with the Nouveau Roman movement.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954b867dc8190af8a70f797e4d133 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67190a20c8190918b465b67d25869 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:01 p.m.