Triple

T4863350
Position Surface form Disambiguated ID Type / Status
Subject Jacques-Pierre Brissot E108710 entity
Predicate wasInOffice P1827 FINISHED
Object French National Convention deputy LITERAL 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: French National Convention deputy | Statement: [Jacques-Pierre Brissot, wasInOffice, French National Convention deputy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasInOffice
Context triple: [Jacques-Pierre Brissot, wasInOffice, French National Convention deputy]
  • A. succeededInOffice
    Indicates that one officeholder directly followed another in holding the same official position.
  • B. hasBeenInGovernmentUntil
    Indicates that an entity held a government position continuously up to a specified end time or date.
  • C. hasPoliticalOfficeScope
    Indicates that a political office or position is limited to, defined within, or applicable to a specific jurisdiction, level, or scope of political authority.
  • D. servedAs chosen
    Indicates that one entity held and performed the role, position, or function associated with another entity for some period of time.
  • E. isPoliticalOffice
    Indicates that the subject is a formal governmental or political position held within a public institution or authority.
  • F. None of above.

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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d60e47c819094b5fbe883db4c15 completed March 20, 2026, 3:53 p.m.
PD Predicate disambiguation batch_69bd6c27334481909ba8ac80854f7d8e completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:26 p.m.