Triple

T35232211
Position Surface form Disambiguated ID Type / Status
Subject Marie-France Garaud E1017268 entity
Predicate candidacyType P139710 FINISHED
Object independent LITERAL 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: independent | Statement: [Marie-France Garaud, candidacyType, independent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: candidacyType
Context triple: [Marie-France Garaud, candidacyType, independent]
  • A. candidateType chosen
    Indicates the classification or category assigned to a candidate within a given context or process.
  • B. candidacyEvent
    Indicates an event in which an entity formally becomes or is recognized as a candidate for a position, role, or office.
  • C. isCandidate
    Indicates that an entity is being considered or put forward for a particular position, role, or selection process.
  • D. candidateFor
    Indicates that one entity is being considered or proposed as a possible choice, option, or selection for another entity (such as a role, position, or outcome).
  • E. typicalCandidate
    Indicates that an entity is a standard or representative example of what is usually considered a candidate in a given context.
  • F. None of above.

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_69f76de12e4c8190bc46b71a32858356 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78f63c8788190b253a18de5ca1312 completed May 3, 2026, 6:09 p.m.
PD Predicate disambiguation batch_69f78e2d71248190b850c2802ec170c0 completed May 3, 2026, 6:04 p.m.
Created at: May 3, 2026, 4:02 p.m.