Triple

T920161
Position Surface form Disambiguated ID Type / Status
Subject Hanshin Tigers E19863 entity
Predicate notableManager P896 FINISHED
Object Katsuya Nomura E30835 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: Katsuya Nomura | Statement: [Hanshin Tigers, notableManager, Katsuya Nomura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katsuya Nomura
Context triple: [Hanshin Tigers, notableManager, Katsuya Nomura]
  • A. Katsuya Nomura chosen
    Katsuya Nomura was a legendary Japanese baseball catcher and manager, renowned for his strategic acumen, long NPB career, and multiple championship titles.
  • B. Shigeru Umebayashi
    Shigeru Umebayashi is a Japanese composer best known internationally for his evocative film scores, particularly in collaborations with directors like Wong Kar-wai and Zhang Yimou.
  • C. Keiji Shibazaki
    Keiji Shibazaki was an Imperial Japanese Navy rear admiral who led the island’s defenses and was killed during the World War II Battle of Tarawa.
  • D. Hideo Ohno
    Hideo Ohno is a Japanese physicist renowned for his pioneering work in spintronics and semiconductor physics.
  • E. Koichi Tanaka
    Koichi Tanaka is a Japanese engineer and Nobel Prize–winning chemist renowned for his pioneering work in mass spectrometry, particularly soft laser desorption ionization.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3120dbc81908362158fe3ffa889 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf6486d88190b53cd743b08eef33 completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:40 p.m.