Triple

T15689388
Position Surface form Disambiguated ID Type / Status
Subject Ludovic Bource E380285 entity
Predicate givenName P17 FINISHED
Object Ludovic E283885 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: Ludovic | Statement: [Ludovic Bource, givenName, Ludovic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludovic
Context triple: [Ludovic Bource, givenName, Ludovic]
  • A. Ludovic chosen
    Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
  • B. Pierre-Louis
    Pierre-Louis is a French given name commonly used as a compound first name in Francophone countries.
  • C. Phillippe
    Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
  • D. Philippe
    Philippe is a common French male given name, historically associated with kings, nobles, and notable public figures in France and other Francophone countries.
  • E. Francois
    Francois is the given first name of South African rugby union scrum-half Faf de Klerk.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4e59988190aaf12f6a07c8f0e4 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee91340819086c8f51e8eb477aa completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:44 a.m.