Triple

T17155946
Position Surface form Disambiguated ID Type / Status
Subject Shin Godzilla E416344 entity
Predicate coProductionCompany P10681 FINISHED
Object Toho Pictures 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: Toho Pictures | Statement: [Shin Godzilla, coProductionCompany, Toho Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toho Pictures
Context triple: [Shin Godzilla, coProductionCompany, Toho Pictures]
  • A. Toho chosen
    Toho is a major Japanese film production and distribution company best known worldwide for creating and owning the Godzilla franchise.
  • B. Tōei
    Tōei is a small rural town in eastern Aichi Prefecture, Japan, known for its mountainous terrain and traditional hot spring and forestry industries.
  • C. Daiei Film
    Daiei Film was a major Japanese film studio best known for producing classic kaiju and genre films, including the Gamera series.
  • D. Toei
    Toei is the public transportation operator run by the Tokyo Metropolitan Government, managing subway lines, buses, and other transit services in Tokyo.
  • E. Nippon Herald Films
    Nippon Herald Films was a Japanese film production and distribution company known for handling both domestic and international titles, including influential works by major directors.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40b402881908b8c01d7b957d0d2 completed April 18, 2026, 9:13 p.m.
Created at: April 10, 2026, 5:37 a.m.