Triple

T8515353
Position Surface form Disambiguated ID Type / Status
Subject Sally Hawkins E201558 entity
Predicate notableWork P4 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: [Sally Hawkins, notableWork, Godzilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Godzilla
Context triple: [Sally Hawkins, notableWork, 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 (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.
  • C. 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.
  • D. 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.
  • E. Gamera
    Gamera is a giant, fire-breathing turtle kaiju from Japanese tokusatsu films, known for defending humanity against monstrous threats.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60f37b0819082ae14e539f57b56 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e5dbb3c81909157e6b04a4956af completed April 2, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:15 p.m.