Triple

T4212886
Position Surface form Disambiguated ID Type / Status
Subject Mothra E93945 entity
Predicate associatedCharacter P12208 FINISHED
Object King Ghidorah E94581 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: King Ghidorah | Statement: [Mothra, associatedCharacter, King Ghidorah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Ghidorah
Context triple: [Mothra, associatedCharacter, King Ghidorah]
  • A. King Ghidorah chosen
    King Ghidorah is a three-headed, golden dragon-like kaiju and one of Godzilla’s most powerful and iconic adversaries in the Godzilla franchise.
  • B. Mothra
    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.
  • C. Anguirus
    Anguirus is a giant, spiked, ankylosaurus-like kaiju from the Godzilla franchise, known as one of Godzilla’s earliest recurring monster allies.
  • D. Gamera
    Gamera is a giant, fire-breathing turtle kaiju from Japanese tokusatsu films, known for defending humanity against monstrous threats.
  • E. Mechagodzilla
    Mechagodzilla is a giant robotic kaiju and one of Godzilla’s most formidable recurring adversaries in the Godzilla franchise.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34be585848190b0b177b5516f53c1 completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a852e0448190bc488087e92a94d4 completed March 14, 2026, 6:26 p.m.
Created at: March 12, 2026, 11:04 p.m.