Triple

T7366554
Position Surface form Disambiguated ID Type / Status
Subject Wario E169883 entity
Predicate voiceActor P1507 FINISHED
Object Charles Martinet E74802 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: Charles Martinet | Statement: [Wario, voiceActor, Charles Martinet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Martinet
Context triple: [Wario, voiceActor, Charles Martinet]
  • A. Charles Martinet chosen
    Charles Martinet is an American voice actor best known for portraying Mario and several other iconic characters in Nintendo’s Super Mario video game franchise.
  • B. Frank Welker
    Frank Welker is a prolific American voice actor renowned for his work in animation and film, including iconic roles in series like "Scooby-Doo" and "Transformers."
  • C. Corey Burton
    Corey Burton is an American voice actor known for his extensive work in animation and video games, including prominent roles in various Star Wars projects.
  • D. Jeff Bennett
    Jeff Bennett is an American voice actor known for his extensive work in animation, including numerous roles in popular Cartoon Network and Disney series.
  • E. Douglas Rain
    Douglas Rain was a Canadian actor best known for providing the chilling voice of the HAL 9000 computer in Stanley Kubrick’s film "2001: A Space Odyssey."
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f163038481909dedbffb4ae7f860 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab9820c8190aa8b519a0852af6e completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:06 p.m.