Triple

T17565201
Position Surface form Disambiguated ID Type / Status
Subject Nelwyn E427792 entity
Predicate coexistsWith P1867 FINISHED
Object Daikini
Daikini are the human-sized people in the fantasy world of the film "Willow," contrasted with the smaller Nelwyn race.
 E1275285 NE FINISHED

How this triple was built (4 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: [Nelwyn, coexistsWith, Daikini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daikini
Context triple: [Nelwyn, coexistsWith, Daikini]
  • A. 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.
  • B. Daishi
    Daishi is the posthumous honorific title granted to the Japanese Buddhist monk Kūkai, founder of the Shingon school of esoteric Buddhism.
  • C. Nandaimon
    Nandaimon is the grand southern main gate of Tōdai-ji temple in Nara, Japan, renowned for its monumental wooden structure and guardian statues.
  • D. 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.
  • E. Masaru
    Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daikini
Triple: [Nelwyn, coexistsWith, Daikini]
Generated description
Daikini are the human-sized people in the fantasy world of the film "Willow," contrasted with the smaller Nelwyn race.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daikini
Target entity description: Daikini are the human-sized people in the fantasy world of the film "Willow," contrasted with the smaller Nelwyn race.
  • A. 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.
  • B. Daishi
    Daishi is the posthumous honorific title granted to the Japanese Buddhist monk Kūkai, founder of the Shingon school of esoteric Buddhism.
  • C. Nandaimon
    Nandaimon is the grand southern main gate of Tōdai-ji temple in Nara, Japan, renowned for its monumental wooden structure and guardian statues.
  • D. 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.
  • E. Masaru
    Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a01d29a14288190b5b665c5450b7c18 completed May 11, 2026, 12:59 p.m.
NEDg Description generation batch_6a01d43430d481909b07d8ecc09a185f completed May 11, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_6a01d4c609fc819089147744317d4be3 completed May 11, 2026, 1:08 p.m.
Created at: April 10, 2026, 5:50 a.m.