Triple

T16069306
Position Surface form Disambiguated ID Type / Status
Subject King Kong vs. Godzilla E389816 entity
Predicate featuresCharacter P626 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: [King Kong vs. Godzilla, featuresCharacter, Godzilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Godzilla
Context triple: [King Kong vs. Godzilla, featuresCharacter, 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 (1954 film)
    Godzilla (1954 film) is a landmark Japanese kaiju movie that introduced the iconic monster Godzilla and pioneered the genre of giant creature disaster films.
  • C. Godzilla (1998 film)
    Godzilla (1998 film) is a 1998 American monster movie directed by Roland Emmerich that reimagines the iconic Japanese kaiju in a big-budget Hollywood production set primarily in New York City.
  • D. 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.
  • E. 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.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183bb98c88190ae4b5773358078be completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe4827cd48190aa470c6537e72508 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.