Triple

T20166644
Position Surface form Disambiguated ID Type / Status
Subject Pierre Manent E491839 entity
Predicate influencedBy P9 FINISHED
Object Montesquieu 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: Montesquieu | Statement: [Pierre Manent, influencedBy, Montesquieu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montesquieu
Context triple: [Pierre Manent, influencedBy, Montesquieu]
  • A. Montesquieu chosen
    Montesquieu was an influential French Enlightenment philosopher best known for his theory of the separation of powers, which profoundly shaped modern constitutional government.
  • B. Montesquieu
    Montesquieu is a French commune in the Tarn-et-Garonne department of the Occitanie region in southern France.
  • C. Épeule Montesquieu
    Épeule Montesquieu is a metro station on the Lille Metro network serving the Roubaix area in northern France.
  • D. Montesquiu
    Montesquiu is a small municipality in the comarca of Osona in Catalonia, northeastern Spain, known for its rural setting and historic castle.
  • E. Helvétius
    Helvétius was an 18th-century French philosopher and Enlightenment thinker known for his materialist views, emphasis on sensory experience, and influential writings on ethics and education.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66844e49081909b7e9ec2b65cc61d completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.