Triple

T23472826
Position Surface form Disambiguated ID Type / Status
Subject Marcel Canet E570173 entity
Predicate familyName P18 FINISHED
Object Canet NE NERFINISHED

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: Canet | Statement: [Marcel Canet, familyName, Canet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canet
Context triple: [Marcel Canet, familyName, Canet]
  • A. Canet chosen
    Canet is a French surname most notably borne by actor and filmmaker Guillaume Canet.
  • B. Cagne
    The Cagne is a small coastal river in southeastern France that flows through the town of Cagnes-sur-Mer into the Mediterranean Sea.
  • C. Cugnaux
    Cugnaux is a suburban commune in southwestern France, located near the city of Toulouse in the Haute-Garonne department.
  • D. Cazaux
    Cazaux is a village in southwestern France, known for its proximity to the Atlantic coast and the large freshwater lake Étang de Cazaux et de Sanguinet.
  • E. Canet d’Adri
    Canet d’Adri is a small municipality in the province of Girona, Catalonia, known for its rural landscape and proximity to the city of Girona.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a70244208190bbd8f58ac16d4399 completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:57 p.m.