Triple

T37988593
Position Surface form Disambiguated ID Type / Status
Subject Maurice Leroy E947762 entity
Predicate hasServedInGovernment P57154 FINISHED
Object French government under François Fillon 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: French government under François Fillon | Statement: [Maurice Leroy, hasServedInGovernment, French government under François Fillon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasServedInGovernment
Context triple: [Maurice Leroy, hasServedInGovernment, French government under François Fillon]
  • A. servedInGovernmentWith
    Indicates that two individuals held positions in the same government or administration during an overlapping period of time.
  • B. wasInGovernmentWith
    Indicates that two individuals served together within the same government or administration during an overlapping period.
  • C. hasBeenInGovernmentUntil
    Indicates that an entity held a government position continuously up to a specified end time or date.
  • D. hasHeldGovernmentParticipation
    Indicates that an entity has previously taken part in governmental roles, activities, or decision-making processes.
  • E. workedUnderGovernmentOf chosen
    Indicates that an entity was employed by, served within, or operated under the authority of a specific government or its administrative bodies.
  • 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_69f76ef8a1d08190a741bbbc5970e3b3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a00b479c1588190af6e0698b7f8d7f7 completed May 10, 2026, 4:38 p.m.
PD Predicate disambiguation batch_6a00b4158260819087d0cfad8b18cef4 completed May 10, 2026, 4:36 p.m.
Created at: May 3, 2026, 4:20 p.m.