Triple

T2067712
Position Surface form Disambiguated ID Type / Status
Subject Galician Iago E45941 entity
Predicate hasCognate P2525 FINISHED
Object French Jacques E19086 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: French Jacques | Statement: [Galician Iago, hasCognate, French Jacques]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Jacques
Context triple: [Galician Iago, hasCognate, French Jacques]
  • A. Jean Louis
    Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
  • B. Jacques chosen
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • C. Jean-Charles
    Jean-Charles is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer and landscape architect known for designing many of Paris’s parks and boulevards.
  • D. Charles Jacque
    Charles Jacque was a 19th-century French painter and engraver known for his rural landscapes and animal scenes associated with the Barbizon school.
  • E. Charles Barbaroux
    Charles Barbaroux was a prominent French revolutionary politician and lawyer associated with the Girondin faction during the French Revolution.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f362f48190b1b0e560424c3aef completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2724f46c81909521ca75185ef5f1 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:40 p.m.