Triple

T12064679
Position Surface form Disambiguated ID Type / Status
Subject Kishi E287263 entity
Predicate hasRomanization P2508 FINISHED
Object Kishi E287263 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: Kishi | Statement: [Kishi, hasRomanization, Kishi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kishi
Context triple: [Kishi, hasRomanization, Kishi]
  • A. Kishi chosen
    Kishi is a Japanese surname borne by various notable figures in politics, arts, and entertainment.
  • B. Kishi
    Kishi is a locality within Nigeria’s Borgu region, known for its role in the area’s cultural and economic life.
  • C. Takeo
    Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
  • D. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • E. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90440dd988190ae2b80367aceb6f7 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a7c2b0081909994ea88683a39f4 completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:48 p.m.