Triple
T14168591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 伊藤 清 |
E351143
|
entity |
| Predicate | 受賞 |
P45356
|
FINISHED |
| Object | 日本学士院賞 |
E240323
|
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: 日本学士院賞 | Statement: [伊藤 清, 受賞, 日本学士院賞]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 日本学士院賞 Context triple: [伊藤 清, 受賞, 日本学士院賞]
-
A.
Japan Prize
The Japan Prize is a prestigious international award that honors significant contributions to science and technology that promote peace and prosperity for humanity.
-
B.
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.
-
C.
Japan Academy Prize
chosen
The Japan Academy Prize is a prestigious Japanese award presented by the Japan Academy to honor outstanding achievements in academic research and scholarship.
-
D.
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.
-
E.
Keio Medical Science Prize
The Keio Medical Science Prize is a prestigious international award presented by Keio University to recognize outstanding contributions to the field of medical and life sciences.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f779248190921c85f99f587296 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1 a.m.