Triple

T5717902
Position Surface form Disambiguated ID Type / Status
Subject Daniel Auteuil E126066 entity
Predicate familyName P18 FINISHED
Object Auteuil E354675 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: Auteuil | Statement: [Daniel Auteuil, familyName, Auteuil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auteuil
Context triple: [Daniel Auteuil, familyName, Auteuil]
  • A. Auteuil chosen
    Auteuil is a residential neighborhood in western Paris known for its village-like atmosphere, Art Nouveau architecture, and historic literary and artistic associations.
  • B. Étrépilly
    Étrépilly is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • C. Vaucresson
    Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
  • D. Ermenonville
    Ermenonville is a village in northern France known for its picturesque landscape garden and as the place where philosopher Jean-Jacques Rousseau spent his final days.
  • E. Étampes
    Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024e084cc81909a652f7c10d32c32 completed March 22, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7941938a88190be049ad13c45f73f completed March 28, 2026, 8:40 a.m.
Created at: March 22, 2026, 3:46 p.m.