Triple

T19818620
Position Surface form Disambiguated ID Type / Status
Subject Jacques-Pierre Brissot E476125 entity
Predicate givenName P17 FINISHED
Object Jacques-Pierre NE NERFINISHED

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: Jacques-Pierre | Statement: [Jacques-Pierre Brissot, givenName, Jacques-Pierre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacques-Pierre
Context triple: [Jacques-Pierre Brissot, givenName, Jacques-Pierre]
  • A. Jacques-Pierre chosen
    Jacques-Pierre is the given name of Jacques-Pierre Brissot, a prominent French revolutionary leader and journalist during the French Revolution.
  • B. Jacques-François
    Jacques-François is the given name of Jacques-François Menou, a French general who served during the French Revolutionary period and in Napoleon’s Egyptian campaign.
  • C. Jacques François
    Jacques François was a French actor known for his supporting roles in mid-20th-century European and American films.
  • D. Jean-Étienne
    Jean-Étienne is a French masculine given name of compound form, typically associated with historical and contemporary Francophone figures.
  • E. Jacques-Germain
    Jacques-Germain was an 18th-century French architect best known for designing the Panthéon in Paris.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654fc8b94819095fd5240f33b6713 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.