Triple

T12168601
Position Surface form Disambiguated ID Type / Status
Subject Gede lwa E289896 entity
Predicate notableMember P10 FINISHED
Object Maman Brigitte E970228 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: Maman Brigitte | Statement: [Gede lwa, notableMember, Maman Brigitte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maman Brigitte
Context triple: [Gede lwa, notableMember, Maman Brigitte]
  • A. Maman Brigitte chosen
    Maman Brigitte is a powerful Vodou spirit associated with death, cemeteries, and protection of the dead, often depicted as the fiery, rum-drinking wife or counterpart of Baron Samedi.
  • B. Michèle
    Michèle is a feminine given name of French origin, commonly used in French-speaking countries.
  • C. Geneviève Brunet
    Geneviève Brunet is an actress known for her role in the visually distinctive French fantasy film "The City of Lost Children."
  • D. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • E. Françoise Lebrun
    Françoise Lebrun is a French actress best known for her work in 1970s auteur cinema, particularly her acclaimed performance in Jean Eustache’s film "The Mother and the Whore."
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d85c088190a74fb7590877659b completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e4deb308190aa1a99a78d46b461 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:50 p.m.