Triple

T1430726
Position Surface form Disambiguated ID Type / Status
Subject Peter E30437 entity
Predicate hasVariant P455 FINISHED
Object Pierre E3672 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: Pierre | Statement: [Peter, hasVariant, Pierre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre
Context triple: [Peter, hasVariant, Pierre]
  • A. Pierre chosen
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • B. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • 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. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4dc3e2081909ff951fe73db277b completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae719488288190b3f954c037af3d3f completed March 9, 2026, 7:07 a.m.
Created at: March 1, 2026, 8 p.m.