Triple

T15524723
Position Surface form Disambiguated ID Type / Status
Subject Samurai Japan E369052 entity
Predicate notablePlayer P304 FINISHED
Object Seiya Suzuki E493309 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: Seiya Suzuki | Statement: [Samurai Japan, notablePlayer, Seiya Suzuki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seiya Suzuki
Context triple: [Samurai Japan, notablePlayer, Seiya Suzuki]
  • A. Seiya Suzuki chosen
    Seiya Suzuki is a Japanese professional baseball outfielder known for his power hitting and strong all-around play, who starred in Nippon Professional Baseball before moving to Major League Baseball.
  • B. Yoshio Matsui
    Yoshio Matsui is a Japanese baseball player known for his career in Nippon Professional Baseball.
  • C. Tiger Tanaka
    Tiger Tanaka is the head of the Japanese Secret Service and a key ally to James Bond in the film and novel "You Only Live Twice."
  • D. Tatsunori Takahashi
    Tatsunori Takahashi is a video game programmer known for his work on Nintendo titles such as Super Mario Odyssey.
  • E. Keiji Matsui
    Keiji Matsui is a Japanese individual notable enough to be recognized as a namesake of the surname Matsui.
  • 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_69ff4c3618dc8190aab243bb61d198ce completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:05 a.m.