Triple

T8377404
Position Surface form Disambiguated ID Type / Status
Subject René Primevère Lesson E197609 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 Primevère Lesson, givenName, René]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: René
Context triple: [René Primevère Lesson, 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c094908190afe9cc54ce4f4d58 completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d9dff0081908219f9b2690d97fe completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6:02 p.m.