Triple

T25671197
Position Surface form Disambiguated ID Type / Status
Subject Louis-Marie de La Révellière-Lépeaux E643677 entity
Predicate stanceOnLouisXVITrial P59463 FINISHED
Object voted for death 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: voted for death | Statement: [Louis-Marie de La Révellière-Lépeaux, stanceOnLouisXVITrial, voted for death]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stanceOnLouisXVITrial
Context triple: [Louis-Marie de La Révellière-Lépeaux, stanceOnLouisXVITrial, voted for death]
  • A. positionOnExecutionOfLouisXVI chosen
    Indicates a stance or opinion that an entity holds regarding the execution of Louis XVI.
  • B. stanceDuringFrenchRevolution
    Indicates the position, attitude, or alignment an entity held regarding the events, factions, or issues of the French Revolution.
  • C. dateOfExecutionOfLouisXVI
    Indicates the specific calendar date on which the execution of Louis XVI took place.
  • D. successorInFranceClaim
    Indicates that one entity is recognized or asserted as the successor to another entity specifically in the context of a claim related to France.
  • E. stanceOnCounterRevolutionaries
    Indicates the position or attitude an entity holds toward counter-revolutionaries, such as support, opposition, or prescribed treatment of them.
  • 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_69e77e7f69808190ad27df1006f6037a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fb32c33481908a4a182c708b96fe completed May 2, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69f4807f8680819098a524158d049c63 completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 7:27 p.m.