Triple

T9509278
Position Surface form Disambiguated ID Type / Status
Subject Lazare Hoche E229349 entity
Predicate givenName P17 FINISHED
Object Lazare E144229 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: Lazare | Statement: [Lazare Hoche, givenName, Lazare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lazare
Context triple: [Lazare Hoche, givenName, Lazare]
  • A. Lazare chosen
    Lazare is a masculine given name of French origin, notably borne by the French mathematician, physicist, and statesman Lazare Carnot.
  • B. Lazar
    Lazar is a masculine given name of Hebrew origin, commonly used in Slavic and other Eastern European cultures.
  • C. Lazarus
    "Lazarus" is a song and stage musical by David Bowie, noted for its haunting reflection on mortality and its close association with his final artistic period.
  • D. Lazarus
    Lazarus is a given name of Hebrew origin meaning "God has helped," best known from the biblical figure resurrected by Jesus in the New Testament.
  • E. Lazarus
    Lazarus is the troubled, blues-playing ex-bluesman portrayed by Samuel L. Jackson in the 2006 Southern drama film "Black Snake Moan."
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9857058881909e0a40e2024a7b4c completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a2b34948190826b1f58258a4f54 completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:58 p.m.