Triple

T17263237
Position Surface form Disambiguated ID Type / Status
Subject René Pleven E419057 entity
Predicate givenName P17 FINISHED
Object René E30626 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: René | Statement: [René Pleven, givenName, René]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: René
Context triple: [René Pleven, givenName, René]
  • A. René chosen
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • B. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • C. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • D. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • E. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4379848190add32ba8e5f93527 completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0171041f2c81909bf52025d68912fc completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:40 a.m.