Triple

T9153369
Position Surface form Disambiguated ID Type / Status
Subject Kato E219644 entity
Predicate sharesEtymologyWith P28322 FINISHED
Object Katou E219644 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: Katou | Statement: [Kato, sharesEtymologyWith, Katou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katou
Context triple: [Kato, sharesEtymologyWith, Katou]
  • A. Katsuya
    Katsuya is a Japanese given name commonly used for males.
  • B. Kato
    Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
  • C. Kato chosen
    Kato is a Japanese surname shared by numerous notable individuals across fields such as entertainment, sports, and politics.
  • D. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • E. Hitakatsu
    Hitakatsu is a port town on Tsushima Island in Nagasaki Prefecture, Japan, serving as a key gateway for maritime transport between Japan and South Korea.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96e323881909cbf4d6708f24f79 completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0545c5bb48190b889e6e9ef0448a5 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:20 p.m.