Triple

T8719234
Position Surface form Disambiguated ID Type / Status
Subject La Légende des siècles E206969 entity
Predicate publisher P29 FINISHED
Object Calmann Lévy E586042 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: Calmann Lévy | Statement: [La Légende des siècles, publisher, Calmann Lévy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calmann Lévy
Context triple: [La Légende des siècles, publisher, Calmann Lévy]
  • A. Société Générale
    Société Générale is a major French multinational investment and retail bank and financial services company headquartered in Paris.
  • B. BNP Paribas
    BNP Paribas is a major French international banking group and one of the largest financial institutions in Europe.
  • C. La Martinière Groupe chosen
    La Martinière Groupe is a French publishing group known for its diverse catalog of literary, illustrated, and educational works through various imprints.
  • D. Eiffage
    Eiffage is a major French construction and civil engineering company known for delivering large-scale infrastructure projects such as the Millau Viaduct.
  • E. Carrefour Banque
    Carrefour Banque is the financial services subsidiary of the Carrefour retail group, offering products such as credit cards, loans, and savings accounts.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d014e208190a4c6055901580d0c completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28ec7148819096f7fa33e4588b62 completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:36 p.m.