Triple
T6921630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 星野仙一 |
E160197
|
entity |
| Predicate | 表彰 |
P30587
|
FINISHED |
| Object |
正力松太郎賞
正力松太郎賞は、日本プロ野球の発展に大きく貢献した人物や球団関係者を顕彰するために設けられた記念賞である。
|
E630079
|
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: 正力松太郎賞 | Statement: [星野仙一, 表彰, 正力松太郎賞]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 正力松太郎賞 Context triple: [星野仙一, 表彰, 正力松太郎賞]
-
A.
Toppan Prize
The Toppan Prize is a prestigious academic award at Harvard University recognizing outstanding doctoral dissertations in the social sciences.
-
B.
Asahi Prize
The Asahi Prize is a prestigious Japanese award recognizing outstanding achievements in fields such as academics, arts, and culture.
-
C.
Fukuoka Asian Culture Prize
The Fukuoka Asian Culture Prize is a Japanese award that honors individuals and organizations for outstanding contributions to the preservation, creation, and promotion of Asian cultures.
-
D.
Imperial Prize of the Japan Academy
The Imperial Prize of the Japan Academy is one of Japan’s most prestigious academic honors, awarded by the Japan Academy for outstanding scholarly achievements across the sciences and humanities.
-
E.
Okawa Prize
The Okawa Prize is a prestigious international award recognizing outstanding contributions to information and telecommunications technologies.
- 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: 正力松太郎賞 Triple: [星野仙一, 表彰, 正力松太郎賞]
Generated description
正力松太郎賞は、日本プロ野球の発展に大きく貢献した人物や球団関係者を顕彰するために設けられた記念賞である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 正力松太郎賞 Target entity description: 正力松太郎賞は、日本プロ野球の発展に大きく貢献した人物や球団関係者を顕彰するために設けられた記念賞である。
-
A.
Toppan Prize
The Toppan Prize is a prestigious academic award at Harvard University recognizing outstanding doctoral dissertations in the social sciences.
-
B.
Asahi Prize
The Asahi Prize is a prestigious Japanese award recognizing outstanding achievements in fields such as academics, arts, and culture.
-
C.
Fukuoka Asian Culture Prize
The Fukuoka Asian Culture Prize is a Japanese award that honors individuals and organizations for outstanding contributions to the preservation, creation, and promotion of Asian cultures.
-
D.
Imperial Prize of the Japan Academy
The Imperial Prize of the Japan Academy is one of Japan’s most prestigious academic honors, awarded by the Japan Academy for outstanding scholarly achievements across the sciences and humanities.
-
E.
Okawa Prize
The Okawa Prize is a prestigious international award recognizing outstanding contributions to information and telecommunications technologies.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9fb8ac48190b50bbc47fad8288f |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c751345edc8190ab0f34120a42571e |
completed | March 28, 2026, 3:55 a.m. |
| NEDg | Description generation | batch_69c751abed548190ac2152acd3029d2d |
completed | March 28, 2026, 3:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7558dd72081909af14d319ce01ff6 |
completed | March 28, 2026, 4:14 a.m. |
Created at: March 27, 2026, 2:26 p.m.