Triple

T4535463
Position Surface form Disambiguated ID Type / Status
Subject Philippe Claudel E107397 entity
Predicate givenName P17 FINISHED
Object Philippe E207358 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: Philippe | Statement: [Philippe Claudel, givenName, Philippe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe
Context triple: [Philippe Claudel, givenName, Philippe]
  • A. Phillippe chosen
    Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
  • B. Édouard
    Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
  • C. Ludovic
    Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
  • D. François-Paul
    François-Paul is the given name of François-Paul Brueys d’Aigalliers, a French naval officer and admiral who served during the French Revolutionary Wars.
  • E. Philippe de France
    Philippe de France, later known as Philip V of Spain, was the first Bourbon king of Spain whose reign marked the beginning of Bourbon rule and significant political and administrative reforms in the country.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57b634b08190845d04213cf8d5b9 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb9193e2481908901b9b4eb307da8 completed March 20, 2026, 9:16 p.m.
Created at: March 20, 2026, 1:04 p.m.