Triple

T20262963
Position Surface form Disambiguated ID Type / Status
Subject Kalos E498889 entity
Predicate hasGymLeader P139445 FINISHED
Object Clemont NE NERFINISHED

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: Clemont | Statement: [Kalos, hasGymLeader, Clemont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clemont
Context triple: [Kalos, hasGymLeader, Clemont]
  • A. Clemont chosen
    Clemont is an intelligent and inventive Lumiose City Gym Leader in the Pokémon series, known for his gadgets and close companionship with Ash Ketchum during their Kalos journey.
  • B. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • C. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • D. Taillibert
    Taillibert is a French surname most notably associated with architect Roger Taillibert, known for designing major sports complexes such as Montreal's Olympic Stadium.
  • E. Clement
    Clement is a given name of Latin origin meaning "merciful" or "gentle," historically borne by several popes and saints.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674cba2748190a886ecd8316dc518 completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.