Triple

T17564869
Position Surface form Disambiguated ID Type / Status
Subject Honey, I Shrunk the Kids E427784 entity
Predicate cinematographyBy P1953 FINISHED
Object Hiro Narita 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: Hiro Narita | Statement: [Honey, I Shrunk the Kids, cinematographyBy, Hiro Narita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiro Narita
Context triple: [Honey, I Shrunk the Kids, cinematographyBy, Hiro Narita]
  • A. Hiro Narita chosen
    Hiro Narita is a Japanese-American cinematographer known for his work on a range of notable films and television projects, including the fantasy comedy "Hocus Pocus."
  • B. Paul Narita
    Paul Narita is a fictional character from the soap opera "Days of Our Lives," known as a former professional baseball player and a key figure in several of the show's major romantic and family storylines.
  • C. Masataka Narita
    Masataka Narita is a Japanese individual notable enough to be recognized as a prominent bearer of the given name Masataka.
  • D. Jirō Minami
    Jirō Minami was a Japanese general and colonial administrator who served as Governor-General of Korea during the later period of Japanese rule.
  • E. Sakon Yamamoto
    Sakon Yamamoto is a Japanese racing driver best known for his stint in Formula One during the mid-2000s with several backmarker teams.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592ce42c8190a54a0a328c5e8ffc completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.