Triple

T4231087
Position Surface form Disambiguated ID Type / Status
Subject King Ghidorah E94581 entity
Predicate hasAlias P455 FINISHED
Object Ghidrah 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: Ghidrah | Statement: [King Ghidorah, hasAlias, Ghidrah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghidrah
Context triple: [King Ghidorah, hasAlias, Ghidrah]
  • 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. Shuma-Gorath
    Shuma-Gorath is an ancient, godlike, tentacled demon from Marvel Comics known for its immense mystical power and frequent clashes with Doctor Strange.
  • C. Thargelion
    Thargelion was a spring month in the ancient Attic calendar, roughly corresponding to parts of May and June in the modern Gregorian calendar.
  • D. Hudra
    The Hudra is a principal liturgical book of the Syriac tradition, containing prayers, hymns, and rites used throughout the liturgical year.
  • E. Tarasque
    The Tarasque is a legendary dragon-like monster from Provençal folklore, famously tamed by Saint Martha and associated with the town of Tarascon in southern France.
  • 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_69b5db7cdcdc81909f7b42bade322c67 completed March 14, 2026, 10:04 p.m.
Created at: March 12, 2026, 11:05 p.m.