Triple
T26076761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 野村 |
E657704
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
野村萬斎
野村萬斎は、狂言界を代表する能楽師であり俳優として、伝統芸能の継承と現代的な舞台・映像作品への出演で広く知られる日本の芸能家である。
|
E1708059
|
NE FINISHED |
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: 野村萬斎 | Statement: [野村, hasNotableBearer, 野村萬斎]
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: 野村萬斎 Triple: [野村, hasNotableBearer, 野村萬斎]
Generated description
野村萬斎は、狂言界を代表する能楽師であり俳優として、伝統芸能の継承と現代的な舞台・映像作品への出演で広く知られる日本の芸能家である。
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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606cf938c8190aa96a095c824367e |
completed | May 2, 2026, 2:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a111b341c848190be77e21bede34457 |
completed | May 23, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_6a111c6d51308190a083d3a650e57c94 |
completed | May 23, 2026, 3:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a111dca95888190bbe8b18c7603a5ba |
completed | May 23, 2026, 3:23 a.m. |
Created at: April 26, 2026, 7:34 p.m.