Triple
T38231418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokujin Yoshioka |
E1012299
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
吉岡徳仁
吉岡徳仁は、光や自然現象を取り入れた詩的で革新的な作品で知られる日本のプロダクトデザイナー兼アーティストです。
|
E2261513
|
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: 吉岡徳仁 | Statement: [Tokujin Yoshioka, nativeName, 吉岡徳仁]
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: 吉岡徳仁 Triple: [Tokujin Yoshioka, nativeName, 吉岡徳仁]
Generated description
吉岡徳仁は、光や自然現象を取り入れた詩的で革新的な作品で知られる日本のプロダクトデザイナー兼アーティストです。
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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcb165a0a081908269548751e3dc35 |
completed | May 7, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41855954a4819093c4911a57958e15 |
completed | June 28, 2026, 8:34 p.m. |
| NEDg | Description generation | batch_6a41883694c08190b8499590442e9640 |
completed | June 28, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4188a897b481909e2b79a47cc4740b |
completed | June 28, 2026, 8:48 p.m. |
Created at: May 3, 2026, 4:30 p.m.