Triple

T3538528
Position Surface form Disambiguated ID Type / Status
Subject Chuck Hansen E74824 entity
Predicate fightsAgainst P4567 FINISHED
Object Kaiju E16133 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: Kaiju | Statement: [Chuck Hansen, fightsAgainst, Kaiju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaiju
Context triple: [Chuck Hansen, fightsAgainst, Kaiju]
  • A. Kaiju chosen
    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.
  • B. Kaiju War
    Kaiju War is a fictional global conflict in the Pacific Rim universe in which humanity battles colossal interdimensional monsters using giant piloted robots called Jaegers.
  • C. Godzilla
    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.
  • D. Gamera
    Gamera is a giant, fire-breathing turtle kaiju from Japanese tokusatsu films, known for defending humanity against monstrous threats.
  • E. Tokusuke
    Tokusuke is the given name of Nakae Chōmin, a prominent Japanese political theorist, journalist, and early advocate of liberal democracy in the Meiji era.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcca5e008190abcfe40c8902a95f completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb8b7fac81908c18d3f868aeba44 completed March 13, 2026, 7:23 a.m.
Created at: March 8, 2026, 3:20 p.m.