Triple

T3762725
Position Surface form Disambiguated ID Type / Status
Subject Hideki Matsui E82599 entity
Predicate nickname P55 FINISHED
Object Godzilla E92665 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: Godzilla | Statement: [Hideki Matsui, nickname, Godzilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Godzilla
Context triple: [Hideki Matsui, nickname, Godzilla]
  • A. Godzilla chosen
    Godzilla is a giant, city-destroying monster from Japanese cinema, iconic for its towering size, atomic breath, and role as the archetypal kaiju in popular culture.
  • B. Godzilla (2014 film)
    Godzilla (2014 film) is a 2014 American monster movie that reboots the Godzilla franchise with a darker, more realistic tone and large-scale kaiju destruction.
  • C. Kaiju
    Kaiju are colossal, monstrous creatures from Japanese science fiction and popular culture, often depicted as city-destroying beasts that battle humanity or other giant monsters.
  • D. Gamera
    Gamera is a giant, fire-breathing turtle kaiju from Japanese tokusatsu films, known for defending humanity against monstrous threats.
  • E. Godzilla: Awakening
    Godzilla: Awakening is a graphic novel prequel that explores the origins and early history of Godzilla within Legendary Pictures’ MonsterVerse continuity.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfa44ac819082f2c895d96c9170 completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e51acd0c81909a675e525ece6d1b completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.