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.