Triple

T17740419
Position Surface form Disambiguated ID Type / Status
Subject Devin Ratray E442837 entity
Predicate appearedIn P795 FINISHED
Object Kimi NE NERFINISHED

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: Kimi | Statement: [Devin Ratray, appearedIn, Kimi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kimi
Context triple: [Devin Ratray, appearedIn, Kimi]
  • A. Kimi chosen
    Kimi is a 2022 techno-thriller film starring Zoë Kravitz as an agoraphobic tech worker who uncovers evidence of a violent crime through a virtual assistant’s audio data.
  • B. Kimi Honda
    Kimi Honda was the wife of Japanese film director Ishirō Honda, known for her connection to the influential creator of the Godzilla franchise.
  • C. Kima
    Kima is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • D. Kitan
    Kitan is a family name most notably associated with the character Drenala Kitan.
  • E. Ukyo
    Ukyo is a Japanese given name commonly used for males and borne by various real and fictional characters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acc2610819099451b02bb51891f completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.