Triple

T16929826
Position Surface form Disambiguated ID Type / Status
Subject Philippe Charles, Duke of Valois E410674 entity
Predicate givenName P17 FINISHED
Object Philippe E600736 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 Charles, Duke of Valois, givenName, Philippe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe
Context triple: [Philippe Charles, Duke of Valois, givenName, Philippe]
  • A. Philippe chosen
    Philippe is a common French male given name, historically associated with kings, nobles, and notable public figures in France and other Francophone countries.
  • B. Phillippe
    Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
  • C. Francois
    Francois is the given first name of South African rugby union scrum-half Faf de Klerk.
  • D. Édouard
    Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
  • E. Ludovic
    Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf248c6c81908fbf4d49e5381f08 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfdeb7a88190aac21a8645607dc8 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.