Triple

T20767635
Position Surface form Disambiguated ID Type / Status
Subject Hideaki Ito E511139 entity
Predicate familyName P18 FINISHED
Object Ito NE NERFINISHED

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: Ito | Statement: [Hideaki Ito, familyName, Ito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ito
Context triple: [Hideaki Ito, familyName, Ito]
  • A. Ogawa
    Ogawa is a town in Saitama Prefecture, Japan, known for its traditional Japanese paper (washi) production and its role as a local transport hub.
  • B. Ogawa
    Ogawa is a serotype of the bacterium Vibrio cholerae O1, commonly associated with cholera outbreaks worldwide.
  • C. Hommachi
    Hommachi is a major commercial and business district in central Osaka, Japan, known for its offices, shops, and convenient subway connections.
  • D. Itō chosen
    Itō is a common Japanese surname borne by numerous notable figures in fields such as politics, the military, arts, and sciences.
  • E. Izumi
    Izumi is a woman from Haruki Murakami’s novel "South of the Border, West of the Sun," remembered as the narrator Hajime’s first love and a formative figure in his youth.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24df58c8190b37398353ce4bf24 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.