Triple

T18772702
Position Surface form Disambiguated ID Type / Status
Subject Philippe Loys de Chéseaux E459054 entity
Predicate familyName P18 FINISHED
Object de Chéseaux 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: de Chéseaux | Statement: [Philippe Loys de Chéseaux, familyName, de Chéseaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Chéseaux
Context triple: [Philippe Loys de Chéseaux, familyName, de Chéseaux]
  • A. Philippe Loys de Chéseaux chosen
    Philippe Loys de Chéseaux was an 18th-century Swiss astronomer known for his observations of nebulae and star clusters and for formulating an early version of Olbers' paradox.
  • B. François Jouffroy
    François Jouffroy was a 19th-century French sculptor known for his neoclassical style and contributions to major Parisian monuments.
  • C. Étienne de Suisy
    Étienne de Suisy was a 14th-century French cardinal of the Catholic Church who participated in the papal election of 1352.
  • D. Phoebus de Châteaupers
    Phoebus de Châteaupers is a handsome but morally ambiguous captain of the king’s archers in Victor Hugo’s novel "Notre-Dame de Paris."
  • E. Antoine Le Maistre
    Antoine Le Maistre was a 17th-century French lawyer, writer, and prominent Jansenist figure closely linked to the Port-Royal movement.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e59336a6b08190819595a55177264e completed April 20, 2026, 2:45 a.m.
Created at: April 10, 2026, 11:52 a.m.