Triple

T8134730
Position Surface form Disambiguated ID Type / Status
Subject Seiji Ozawa E189940 entity
Predicate givenName P17 FINISHED
Object Seiji E180122 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: Seiji | Statement: [Seiji Ozawa, givenName, Seiji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seiji
Context triple: [Seiji Ozawa, givenName, Seiji]
  • A. Seiji chosen
    Seiji is a Japanese given name most famously associated with the renowned conductor Seiji Ozawa.
  • B. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • C. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • D. Hisahito
    Hisahito is a Japanese imperial prince and the only grandson of Emperor Naruhito’s predecessor, Emperor Emeritus Akihito, placing him in the direct line of succession to the Chrysanthemum Throne.
  • E. Shinpei
    Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43bbae608190bdc1afe6f0ab83ae completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd949f48d48190b6b908c01ae49ee4 completed April 1, 2026, 9:56 p.m.
Created at: March 30, 2026, 5:35 p.m.