Triple

T20552647
Position Surface form Disambiguated ID Type / Status
Subject Louis-Nicolas d’Avout E504633 entity
Predicate familyName P18 FINISHED
Object d’Avout 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: d’Avout | Statement: [Louis-Nicolas d’Avout, familyName, d’Avout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: d’Avout
Context triple: [Louis-Nicolas d’Avout, familyName, d’Avout]
  • A. d’Avout chosen
    d’Avout is the French noble family name borne by Louis-Nicolas Davout, one of Napoleon Bonaparte’s most capable marshals.
  • B. Durgeon
    The Durgeon is a river in eastern France that flows through the town of Vesoul in the Haute-Saône department.
  • C. Damphreux
    Damphreux is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
  • D. Sombreffe
    Sombreffe is a municipality in the Walloon region of Belgium, historically notable for its proximity to key Napoleonic battlefields, including Ligny and Quatre Bras.
  • E. Dagonet
    Dagonet is the loyal and self-sacrificing knight of the Round Table in the 2004 film "King Arthur," portrayed as a fierce warrior and close companion to Arthur and his fellow knights.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5d98c348190ac516bc2df59d878 completed April 20, 2026, 10:16 p.m.
Created at: April 16, 2026, 11:38 a.m.