Triple

T11377128
Position Surface form Disambiguated ID Type / Status
Subject Michel Legrand E269498 entity
Predicate familyName P18 FINISHED
Object Legrand E295419 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: Legrand | Statement: [Michel Legrand, familyName, Legrand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legrand
Context triple: [Michel Legrand, familyName, Legrand]
  • A. Legrand
    Legrand is a French multinational company specializing in electrical and digital building infrastructure solutions, including switches, sockets, and cable management systems.
  • B. Cegelec
    Cegelec is an international engineering and technology services company specializing in electrical, automation, and information systems for infrastructure and industry.
  • C. Schneider Electric
    Schneider Electric is a French multinational company specializing in energy management and industrial automation solutions for homes, buildings, data centers, infrastructure, and industry.
  • D. Schneider chosen
    Schneider is a German-origin surname commonly borne by people of German-speaking or Central European descent.
  • E. Hager
    Hager is the surname of Jenna Bush Hager, an American television personality, author, and daughter of former U.S. President George W. Bush.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8e6d44819095f949581421e98e completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55697b2388190929d7e0b15d809ba completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:33 p.m.