Triple

T11172176
Position Surface form Disambiguated ID Type / Status
Subject The Wolverine E264300 entity
Predicate featuresCharacter P626 FINISHED
Object Mariko Yashida E511472 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: Mariko Yashida | Statement: [The Wolverine, featuresCharacter, Mariko Yashida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariko Yashida
Context triple: [The Wolverine, featuresCharacter, Mariko Yashida]
  • A. Mariko Yashida chosen
    Mariko Yashida is a Japanese noblewoman and crime family heiress in Marvel Comics, best known as one of Wolverine’s most significant and tragic romantic partners.
  • B. Reiko Yamamoto
    Reiko Yamamoto was the wife of Admiral Isoroku Yamamoto, the famed commander-in-chief of the Imperial Japanese Navy during World War II.
  • C. Ayako Wakao
    Ayako Wakao is a renowned Japanese actress celebrated for her prolific film career from the 1950s onward, particularly in collaborations with director Yasuzō Masumura.
  • D. Atsuko Nishida
    Atsuko Nishida is a Japanese illustrator and character designer best known for creating Pikachu and contributing to many iconic Pokémon designs.
  • E. Akiko Yoshida
    Akiko Yoshida is an individual known primarily through her close personal association with Steve Smith.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e509cd971c8190bdaa7b3c8a1f32f2 completed April 19, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:29 p.m.