Triple

T6715462
Position Surface form Disambiguated ID Type / Status
Subject Perrette Bade E153255 entity
Predicate relative P37 FINISHED
Object François Estienne E802603 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: François Estienne | Statement: [Perrette Bade, relative, François Estienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: François Estienne
Context triple: [Perrette Bade, relative, François Estienne]
  • A. François Estienne chosen
    François Estienne was a member of the renowned Estienne family of 16th-century French scholar-printers, associated with humanist publishing and classical texts.
  • B. Robert Étienne
    Robert Étienne was a prominent 16th-century French humanist printer and classical scholar renowned for his critical editions of the Bible and Latin texts.
  • C. François Pelland
    François Pelland is a video game producer best known for his leadership role in developing major Ubisoft titles such as Assassin's Creed III.
  • D. François Douaren
    François Douaren was a 16th-century French jurist and humanist scholar known for his influential contributions to legal humanism and Roman law studies.
  • E. François Dupeyron
    François Dupeyron was a French film director and screenwriter known for his humanistic, character-driven dramas.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1246b748190aed94e8ab8625f7e completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1399616708190968442c5389166cf completed April 4, 2026, 4:17 p.m.
Created at: March 27, 2026, 2:07 p.m.