Triple

T22682470
Position Surface form Disambiguated ID Type / Status
Subject Jean Cordonnier E560516 entity
Predicate hasSurname P18 FINISHED
Object Cordonnier 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: Cordonnier | Statement: [Jean Cordonnier, hasSurname, Cordonnier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cordonnier
Context triple: [Jean Cordonnier, hasSurname, Cordonnier]
  • A. Cordonnier chosen
    Cordonnier is a French surname most notably associated with Louis Marie Cordonnier, a prominent architect known for his influential work in northern France around the turn of the 20th century.
  • B. Shoemaker
    Shoemaker is a surname most famously associated with American geologist and astronomer Eugene Shoemaker, a pioneer of planetary science and co-discoverer of Comet Shoemaker–Levy 9.
  • C. Labouret
    Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
  • D. Corcos
    Corcos is an Italian surname most notably associated with television personality and chef Gabriele Corcos.
  • E. La Chaussaire
    La Chaussaire is a former French commune in the Maine-et-Loire department that was incorporated into the new municipality of Mauges-sur-Loire.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786113a881908f60285054d7ecfb completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:12 p.m.