Triple

T8919213
Position Surface form Disambiguated ID Type / Status
Subject Suzuki E212368 entity
Predicate romanizationSystem P6517 FINISHED
Object Hepburn E179787 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: Hepburn | Statement: [Suzuki, romanizationSystem, Hepburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hepburn
Context triple: [Suzuki, romanizationSystem, Hepburn]
  • A. Hepburn chosen
    Hepburn is a widely used system for transcribing Japanese sounds into the Latin alphabet, originally developed by American missionary James Curtis Hepburn.
  • B. Hepburn Ferrer
    Hepburn Ferrer is the family name of Sean Hepburn Ferrer, the son of iconic actress Audrey Hepburn and actor Mel Ferrer.
  • C. Marion Grant Hepburn
    Marion Grant Hepburn was an American woman best known as one of the siblings of acclaimed actress Katharine Hepburn, belonging to the prominent Hepburn family.
  • D. Katharine Hepburn
    Katharine Hepburn was an iconic American actress renowned for her fiercely independent screen persona, sharp wit, and a record four Academy Awards for Best Actress during Hollywood’s Golden Age.
  • E. Mercedes McCambridge
    Mercedes McCambridge was an American actress renowned for her intense, often villainous roles in film and radio, and for providing the demonic voice in "The Exorcist."
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6613639881909090d060f388a865 completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba49d65c8190b9d9908822198cc0 completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:56 p.m.