Triple

T8076933
Position Surface form Disambiguated ID Type / Status
Subject So E188515 entity
Predicate usedBy P260 FINISHED
Object So Taguchi E36001 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: So Taguchi | Statement: [So, usedBy, So Taguchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: So Taguchi
Context triple: [So, usedBy, So Taguchi]
  • A. So Taguchi chosen
    So Taguchi is a former Japanese professional baseball outfielder who played in both Nippon Professional Baseball and Major League Baseball, notably winning a World Series with the St. Louis Cardinals.
  • B. Taguchi
    Taguchi is a Japanese surname borne by various notable individuals across fields such as sports, entertainment, and science.
  • C. Tokusuke
    Tokusuke is the given name of Nakae Chōmin, a prominent Japanese political theorist, journalist, and early advocate of liberal democracy in the Meiji era.
  • D. Mibu no Tadamine
    Mibu no Tadamine was a prominent early Heian-period Japanese waka poet and courtier, known as one of the Thirty-Six Immortals of Poetry and an influential contributor to classical Japanese verse.
  • E. Kudanshita
    Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a184488190b19ef7066f0f5057 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63f3f6848190a719b8a9605218ee completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:28 p.m.