Triple

T20432100
Position Surface form Disambiguated ID Type / Status
Subject Great Fear of 1789 E501157 entity
Predicate alsoKnownAs P39 FINISHED
Object Grande Peur 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: Grande Peur | Statement: [Great Fear of 1789, alsoKnownAs, Grande Peur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grande Peur
Context triple: [Great Fear of 1789, alsoKnownAs, Grande Peur]
  • A. Calvaire
    Calvaire is a 2004 Belgian psychological horror film by Fabrice Du Welz, known for its disturbing atmosphere and portrayal of a singer’s nightmarish ordeal in a remote village.
  • B. Spavento
    Spavento is a novel by Italian writer Domenico Starnone that explores complex emotional and psychological themes within contemporary Italian life.
  • C. Bête Noire
    Bête Noire is a French term meaning “black beast,” commonly used to describe a person or thing that is particularly disliked or dreaded.
  • D. Le Monstre
    Le Monstre is a large wooden roller coaster located at La Ronde amusement park in Montreal, Canada, known for its intense drops and classic out-and-back layout.
  • E. Great Fear chosen
    The Great Fear was a widespread rural panic and wave of peasant uprisings across France in the summer of 1789, driven by rumors of aristocratic plots and contributing to the radicalization of the early French Revolution.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685eaa4c8819083d1d7aee0f998a6 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.