Triple

T22614679
Position Surface form Disambiguated ID Type / Status
Subject Annie Girardot E566810 entity
Predicate familyName P18 FINISHED
Object Girardot NE NERFINISHED

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: Girardot | Statement: [Annie Girardot, familyName, Girardot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Girardot
Context triple: [Annie Girardot, familyName, Girardot]
  • A. Girardot
    Girardot is a Colombian city known as a major tourist and commercial center on the Magdalena River, popular for its warm climate and resort tourism.
  • B. Girardot chosen
    Girardot is a French-origin surname borne by various notable figures, including artists, actors, and public personalities.
  • C. Girardota
    Girardota is a municipality in the Antioquia Department of Colombia, located in the northern part of the Aburrá Valley metropolitan area near Medellín.
  • D. Manizales
    Manizales is a mountainous Colombian city known for its coffee production, cool climate, and location in the central Andes.
  • E. Montería
    Montería is a major Colombian city known as the capital of Córdoba Department, recognized for its cattle ranching economy and location along the Sinú River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167ecc7188190bf41fe2177d48e6c completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:58 p.m.