Triple

T15524714
Position Surface form Disambiguated ID Type / Status
Subject Samurai Japan E369052 entity
Predicate notableFormerManager P896 FINISHED
Object Tatsunori Hara E373400 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: Tatsunori Hara | Statement: [Samurai Japan, notableFormerManager, Tatsunori Hara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tatsunori Hara
Context triple: [Samurai Japan, notableFormerManager, Tatsunori Hara]
  • A. Tatsunori Hara chosen
    Tatsunori Hara is a prominent Japanese baseball manager and former Yomiuri Giants star known for leading both his club and Japan’s national team to multiple championships.
  • B. Tatsunori Takahashi
    Tatsunori Takahashi is a video game programmer known for his work on Nintendo titles such as Super Mario Odyssey.
  • C. Atsunori Inaba
    Atsunori Inaba is a former Japanese professional baseball outfielder and first baseman who became a star player and later manager in Nippon Professional Baseball.
  • D. Yoshinobu Yamamoto
    Yoshinobu Yamamoto is an elite Japanese right-handed pitcher, renowned for his dominant performances in Nippon Professional Baseball and subsequent move to Major League Baseball.
  • E. Hitoshi Tanaka
    Hitoshi Tanaka is a Japanese name most commonly associated with several individuals, including professionals in fields such as diplomacy, academia, and sports.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04143bda08190a2dee44918c1ad1c completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5706948190a1c0f466f7ef8857 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.