Triple

T15921889
Position Surface form Disambiguated ID Type / Status
Subject Édouard Michelin E386111 entity
Predicate givenName P17 FINISHED
Object Édouard E41029 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: Édouard | Statement: [Édouard Michelin, givenName, Édouard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Édouard
Context triple: [Édouard Michelin, givenName, Édouard]
  • A. Édouard chosen
    Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
  • B. Louis Henri
    Louis Henri is a French nobleman of the Pardaillan de Gondrin family, historically associated with the courtly aristocracy of early modern France.
  • C. Victor Guillaume
    Victor Guillaume was a French artist associated with the École de Nancy, a movement known for its contributions to Art Nouveau in decorative arts and design.
  • D. Louis Georges
    Louis Georges, better known as Marshal de Contades, was an 18th-century French field marshal who served prominently during the Seven Years' War.
  • E. Philippe
    Philippe is a common French male given name, historically associated with kings, nobles, and notable public figures in France and other Francophone countries.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156825b1881908477ec93cc7b5f02 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5aba70c8190a74c45bce6f9b782 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.