Triple

T12187793
Position Surface form Disambiguated ID Type / Status
Subject 天野浩 E290379 entity
Predicate awardReceived P11 FINISHED
Object 日本国際賞 E418 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: 日本国際賞 | Statement: [天野浩, awardReceived, 日本国際賞]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 日本国際賞
Context triple: [天野浩, awardReceived, 日本国際賞]
  • A. Kiriyama Prize
    The Kiriyama Prize was a literary award honoring books that foster greater understanding among the peoples and nations of the Pacific Rim and South Asia.
  • B. Japan Prize chosen
    The Japan Prize is a prestigious international award that honors significant contributions to science and technology that promote peace and prosperity for humanity.
  • 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. Toppan Prize
    The Toppan Prize is a prestigious academic award at Harvard University recognizing outstanding doctoral dissertations in the social sciences.
  • E. Japan Academy Prize
    The Japan Academy Prize is a prestigious Japanese award presented by the Japan Academy to honor outstanding achievements in academic research and scholarship.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d916012c2c819085824332ad60059e completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6b0a84c8190ae593e368c13b5a5 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.