Triple

T4231074
Position Surface form Disambiguated ID Type / Status
Subject King Ghidorah E94581 entity
Predicate enemyOf P437 FINISHED
Object Mothra E93945 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: Mothra | Statement: [King Ghidorah, enemyOf, Mothra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mothra
Context triple: [King Ghidorah, enemyOf, Mothra]
  • A. Mothra chosen
    Mothra is a giant, benevolent moth-like monster from the Godzilla franchise, known for her guardian role, mystical powers, and recurring appearances as one of the series’ most iconic kaiju.
  • B. Anguirus
    Anguirus is a giant, spiked, ankylosaurus-like kaiju from the Godzilla franchise, known as one of Godzilla’s earliest recurring monster allies.
  • C. King Ghidorah
    King Ghidorah is a three-headed, golden dragon-like kaiju and one of Godzilla’s most powerful and iconic adversaries in the Godzilla franchise.
  • D. Gamera
    Gamera is a giant, fire-breathing turtle kaiju from Japanese tokusatsu films, known for defending humanity against monstrous threats.
  • E. MUTO
    MUTO is a giant parasitic kaiju species in the 2014 film "Godzilla," known for feeding on nuclear material and serving as one of Godzilla’s primary adversaries.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e62e3c881909ffb9269ba9018b9 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c70cfa6c819096992a9ea7e97801 completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:05 p.m.