Triple

T10212209
Position Surface form Disambiguated ID Type / Status
Subject Lirey E242355 entity
Predicate associatedWithPerson P37 FINISHED
Object Geoffroi de Charny E549337 NE 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: Geoffroi de Charny | Statement: [Lirey, associatedWithPerson, Geoffroi de Charny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geoffroi de Charny
Context triple: [Lirey, associatedWithPerson, Geoffroi de Charny]
  • A. Geoffrey de Charny chosen
    Geoffrey de Charny was a renowned 14th-century French knight and author celebrated for his chivalric ideals and military leadership during the Hundred Years' War.
  • B. Hugues de Saint-Cher
    Hugues de Saint-Cher was a 13th-century French Dominican friar, cardinal, and biblical scholar known for producing one of the earliest comprehensive biblical concordances.
  • C. Grégoire de Lasteyrie
    Grégoire de Lasteyrie is a French politician known for serving as the mayor of the Paris-region commune of Palaiseau.
  • D. Jean de Vienne
    Jean de Vienne was a 14th-century French admiral and knight renowned for modernizing the French navy and leading numerous campaigns during the Hundred Years’ War.
  • E. Arnaud de Puyfontaine
    Arnaud de Puyfontaine is a French media executive best known as the chief executive officer of Vivendi.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa23bce881909b5deac612ec22cb completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652e25be88190a6f1763e9e86666a completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 11:02 a.m.