Triple

T17565459
Position Surface form Disambiguated ID Type / Status
Subject Daikini world E427800 entity
Predicate inhabitedBy P6481 FINISHED
Object Daikini 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: Daikini | Statement: [Daikini world, inhabitedBy, Daikini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daikini
Context triple: [Daikini world, inhabitedBy, Daikini]
  • A. Daikini chosen
    Daikini are the human-sized people in the fantasy world of the film "Willow," contrasted with the smaller Nelwyn race.
  • B. Tuda-Mengu
    Tuda-Mengu was a 13th-century Mongol ruler who briefly led the Golden Horde during a period of internal strife and shifting alliances within the Mongol Empire.
  • C. Daishi
    Daishi is the posthumous honorific title granted to the Japanese Buddhist monk Kūkai, founder of the Shingon school of esoteric Buddhism.
  • D. Nandaimon
    Nandaimon is the grand southern main gate of Tōdai-ji temple in Nara, Japan, renowned for its monumental wooden structure and guardian statues.
  • E. Togarmah
    Togarmah is a biblical figure mentioned in the Hebrew Bible as a descendant of Gomer and traditionally associated with peoples or regions in Anatolia or the Caucasus.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592ce42c8190a54a0a328c5e8ffc completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.