Triple

T11749721
Position Surface form Disambiguated ID Type / Status
Subject Zeami Motokiyo E279373 entity
Predicate notableWork P4 FINISHED
Object Kadensho
Kadensho is a seminal treatise on Noh theatre aesthetics and performance theory traditionally attributed to the playwright and actor Zeami Motokiyo.
 E944853 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: Kadensho | Statement: [Zeami Motokiyo, notableWork, Kadensho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kadensho
Context triple: [Zeami Motokiyo, notableWork, Kadensho]
  • A. Kutama
    Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
  • B. Kamenari
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • C. Konedobu
    Konedobu is a suburb of Port Moresby in Papua New Guinea, known for housing many government offices and administrative facilities.
  • D. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • E. Kasada
    Kasada is a traditional Hindu ritual and festival observed by the Tenggerese people of East Java, Indonesia, involving offerings cast into the crater of Mount Bromo.
  • 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: Kadensho
Triple: [Zeami Motokiyo, notableWork, Kadensho]
Generated description
Kadensho is a seminal treatise on Noh theatre aesthetics and performance theory traditionally attributed to the playwright and actor Zeami Motokiyo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kadensho
Target entity description: Kadensho is a seminal treatise on Noh theatre aesthetics and performance theory traditionally attributed to the playwright and actor Zeami Motokiyo.
  • A. Kutama
    Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
  • B. Kamenari
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • C. Konedobu
    Konedobu is a suburb of Port Moresby in Papua New Guinea, known for housing many government offices and administrative facilities.
  • D. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • E. Kasada
    Kasada is a traditional Hindu ritual and festival observed by the Tenggerese people of East Java, Indonesia, involving offerings cast into the crater of Mount Bromo.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a508b0c4819082fbcc27d559ea2f completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a0492b48190b6f2e3cf36b4f537 completed April 28, 2026, 2:23 a.m.
NEDg Description generation batch_69f0319622c48190bee6c906f08c0a8c completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05ad36e4c8190b7239e5b33713369 completed April 28, 2026, 6:59 a.m.
Created at: April 8, 2026, 9:41 p.m.