Triple

T17259525
Position Surface form Disambiguated ID Type / Status
Subject WrestleMania V E418972 entity
Predicate featuredWrestler P49139 FINISHED
Object Mr. Fuji E1234481 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: Mr. Fuji | Statement: [WrestleMania V, featuredWrestler, Mr. Fuji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Fuji
Context triple: [WrestleMania V, featuredWrestler, Mr. Fuji]
  • A. Mr. Fuji chosen
    Mr. Fuji was a legendary professional wrestling manager and former wrestler, best known for his villainous persona in WWE and managing top stars like Yokozuna.
  • B. Daisuke Ryū
    Daisuke Ryū is a Japanese actor best known for his roles in Akira Kurosawa’s historical epics and other period films.
  • C. Fuji Kobiaji
    Fuji Kobiaji is a friendly, comedic Japanese prisoner of war who frequently interacts with the crew in the 1960s American television sitcom "McHale's Navy."
  • D. Shohei
    Shohei is a Japanese given name most prominently associated with baseball star Shohei Ohtani.
  • E. Osamu Shimomura
    Osamu Shimomura was a Japanese organic chemist and marine biologist best known for discovering and isolating the green fluorescent protein (GFP), a breakthrough that revolutionized biological imaging.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6fa940819089046d1b12dede2c completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017101d5dc8190ac6507344897b0f3 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.