Triple

T16324934
Position Surface form Disambiguated ID Type / Status
Subject Hara Sankei E396386 entity
Predicate givenName P17 FINISHED
Object Tomitarō E875109 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: Tomitarō | Statement: [Hara Sankei, givenName, Tomitarō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomitarō
Context triple: [Hara Sankei, givenName, Tomitarō]
  • A. Tomitaro chosen
    Tomitaro is a Japanese given name commonly used for males.
  • B. Sano Tsunetami
    Sano Tsunetami was a Japanese statesman and philanthropist best known for establishing Japan’s modern humanitarian and Red Cross movement.
  • C. Ōyama Tokugorō
    Ōyama Tokugorō was a Japanese figure known primarily as a member of the prominent Ōyama family, related to influential Meiji-era statesman and field marshal Ōyama Iwao.
  • D. Tsunehito
    Tsunehito was the personal name of Emperor Kameyama, a 13th-century Japanese emperor of the Kamakura period.
  • E. Torajirō
    Torajirō is the given name of Yoshida Shōin, a prominent intellectual and political activist of Japan’s late Edo period who influenced 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b9dcb88190beb0ca2206729175 completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01673979608190905afae3071413c0 completed May 11, 2026, 5:20 a.m.
Created at: April 10, 2026, 5:06 a.m.