Triple

T9191319
Position Surface form Disambiguated ID Type / Status
Subject 黒川紀章 E220593 entity
Predicate 代表作 P4 FINISHED
Object 国立文楽劇場
国立文楽劇場は、日本の伝統芸能である文楽を中心に上演するため大阪に設けられた国立の専門劇場です。
E783954 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: 国立文楽劇場 | Statement: [黒川紀章, 代表作, 国立文楽劇場]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 国立文楽劇場
Context triple: [黒川紀章, 代表作, 国立文楽劇場]
  • A. Kabuki-za Theatre
    Kabuki-za Theatre is Tokyo’s principal and most famous kabuki playhouse, renowned for its traditional performances and historic architecture.
  • B. Ikeda Theater
    Ikeda Theater is a major performance venue within the Mesa Arts Center in Mesa, Arizona, known for hosting concerts, theater productions, and other large-scale cultural events.
  • C. National Noh Theatre
    The National Noh Theatre is a major cultural venue in Tokyo dedicated to the performance, preservation, and promotion of traditional Japanese Noh and Kyōgen theater.
  • D. Takatsuki Arts Theatre
    Takatsuki Arts Theatre is a cultural and performing arts venue in Takatsuki, Japan, hosting concerts, theatrical productions, and community arts events.
  • E. Tokyo Metropolitan Theatre
    Tokyo Metropolitan Theatre is a major performing arts complex in Tokyo known for its concert halls, theaters, and cultural events.
  • 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: 国立文楽劇場
Triple: [黒川紀章, 代表作, 国立文楽劇場]
Generated description
国立文楽劇場は、日本の伝統芸能である文楽を中心に上演するため大阪に設けられた国立の専門劇場です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 国立文楽劇場
Target entity description: 国立文楽劇場は、日本の伝統芸能である文楽を中心に上演するため大阪に設けられた国立の専門劇場です。
  • A. Kabuki-za Theatre
    Kabuki-za Theatre is Tokyo’s principal and most famous kabuki playhouse, renowned for its traditional performances and historic architecture.
  • B. Ikeda Theater
    Ikeda Theater is a major performance venue within the Mesa Arts Center in Mesa, Arizona, known for hosting concerts, theater productions, and other large-scale cultural events.
  • C. National Noh Theatre
    The National Noh Theatre is a major cultural venue in Tokyo dedicated to the performance, preservation, and promotion of traditional Japanese Noh and Kyōgen theater.
  • D. Takatsuki Arts Theatre
    Takatsuki Arts Theatre is a cultural and performing arts venue in Takatsuki, Japan, hosting concerts, theatrical productions, and community arts events.
  • E. Tokyo Metropolitan Theatre
    Tokyo Metropolitan Theatre is a major performing arts complex in Tokyo known for its concert halls, theaters, and cultural events.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bf25c081909e651b67ef8ecc33 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c272f508190aade1769c88cf16d completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cda59f88190bcde5a91aec2f9dd completed April 4, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69d05ddd28008190b82c42220871e73f completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:24 p.m.