Triple

T12839415
Position Surface form Disambiguated ID Type / Status
Subject Jacques François Coquille E307006 entity
Predicate hasFamilyName P18 FINISHED
Object Coquille E807371 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: Coquille | Statement: [Jacques François Coquille, hasFamilyName, Coquille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coquille
Context triple: [Jacques François Coquille, hasFamilyName, Coquille]
  • A. Coquille chosen
    Coquille is a French surname historically borne by members of the Dugommier family line.
  • B. Crompond
    Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
  • C. Bouchet
    Bouchet is a surname most notably associated with Edward Alexander Bouchet, one of the first African Americans to earn a Ph.D. in the United States.
  • D. Merlav
    Merlav is a small island and Oceanic language community in Vanuatu, known for its distinct Mwerlap language and culture.
  • E. Chausy
    Chausy is a small town in eastern Belarus known for its historical role in regional trade and its location within the Mogilev Region.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff11b4481909fb2f92c46186853 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edd30e881909062e8f91f614990 completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:35 p.m.