Triple

T17841306
Position Surface form Disambiguated ID Type / Status
Subject Gamera: Super Monster E445533 entity
Predicate featuresMonster P18264 FINISHED
Object Zigra NE NERFINISHED

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: Zigra | Statement: [Gamera: Super Monster, featuresMonster, Zigra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zigra
Context triple: [Gamera: Super Monster, featuresMonster, Zigra]
  • A. Zigra chosen
    Zigra is a monstrous alien shark-like kaiju from the Gamera film series, known for invading Earth and battling the giant turtle guardian.
  • B. Zriba
    Zriba is a small town in northeastern Tunisia, known for its traditional architecture and proximity to the historic city of Zaghouan.
  • C. Zayigna
    Zayigna is an alternative name for the Zay language, an Afroasiatic language spoken by the Zay people of Ethiopia.
  • D. Ziria
    Ziria is a mountain in the northeastern Peloponnese of Greece, traditionally identified with Mount Cyllene, which is famed in Greek mythology as the birthplace of the god Hermes.
  • E. Gallifa
    Gallifa is a small rural municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its scenic mountainous landscape and historic castle.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2b2ea08190926ec0cf01285833 completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.