Triple

T15356912
Position Surface form Disambiguated ID Type / Status
Subject Outsiders E367187 entity
Predicate hasMember P10 FINISHED
Object Katana (Tatsu Yamashiro) E1152004 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: Katana (Tatsu Yamashiro) | Statement: [Outsiders, hasMember, Katana (Tatsu Yamashiro)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katana (Tatsu Yamashiro)
Context triple: [Outsiders, hasMember, Katana (Tatsu Yamashiro)]
  • A. Katana
    Katana is a town and administrative division in Sri Lanka’s Western Province, situated within the Gampaha District.
  • B. Katana chosen
    Katana is a DC Comics superheroine and skilled Japanese swordswoman who wields a mystical soul-trapping blade and has been a member of teams such as the Outsiders and the Suicide Squad.
  • C. Kanaya Hanzo
    Kanaya Hanzo was a Japanese general who rose to the top of the Imperial Japanese Army’s leadership during the early 20th century.
  • D. Hanzo
    Hanzo is a skilled archer and assassin hero in the game Overwatch, known for his precision, mobility, and powerful bow-based abilities.
  • E. Tsurugi
    Tsurugi is a Japanese Shinkansen train service operating on the Hokuriku Shinkansen line, primarily providing all-stations shuttle connections between Toyama and Kanazawa.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2c00648190ae2325e1ee58dcfd completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b45e3048190a7fa62ead6916fed completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.