Triple

T38484995
Position Surface form Disambiguated ID Type / Status
Subject Les Liaisons dangereuses E917891 entity
Predicate publisher P29 FINISHED
Object Durand Neveu E1392062 NE FINISHED

How this triple was built (1 step)

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: Durand Neveu | Statement: [Les Liaisons dangereuses, publisher, Durand Neveu]

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_69f76e9894208190a129a553a60ca58c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd224e57c8190b3d0f5dfaf0c8c07 completed May 7, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4256ceb944819084a2f8d89506d22a completed June 29, 2026, 11:28 a.m.
Created at: May 3, 2026, 4:31 p.m.