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.