Triple

T6840148
Position Surface form Disambiguated ID Type / Status
Subject Julie Gayet E157550 entity
Predicate placeOfBirth P1 FINISHED
Object Suresnes E384471 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: Suresnes | Statement: [Julie Gayet, placeOfBirth, Suresnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suresnes
Context triple: [Julie Gayet, placeOfBirth, Suresnes]
  • A. Suresnes chosen
    Suresnes is a suburban commune in the western outskirts of Paris, France, known for its residential character and views over the Seine and the capital.
  • B. Asnières-sur-Seine
    Asnières-sur-Seine is a suburban commune in the northwestern outskirts of Paris, France, known for its residential neighborhoods and location along the Seine River.
  • C. Villepinte
    Villepinte is a northeastern suburb of Paris in the Île-de-France region, known for hosting the large Paris Nord Villepinte exhibition center and its proximity to Charles de Gaulle Airport.
  • D. Gennevilliers
    Gennevilliers is a suburban commune in the northwestern outskirts of Paris, France, known for its large industrial and port areas along the Seine.
  • E. Epinay-sur-Seine
    Epinay-sur-Seine is a suburban commune in the northern outskirts of Paris, France, known for its residential neighborhoods along the Seine River.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b2ee248190991c3e827be75bb7 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfaae99194819095cf9b74267956a4 completed April 3, 2026, 11:56 a.m.
Created at: March 27, 2026, 2:19 p.m.