Triple
T11002445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomaso Poggio |
E260033
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object | Okawa Prize |
E255797
|
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: Okawa Prize | Statement: [Tomaso Poggio, awardReceived, Okawa Prize]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okawa Prize Context triple: [Tomaso Poggio, awardReceived, Okawa Prize]
-
A.
Okawa Prize
chosen
The Okawa Prize is a prestigious international award recognizing outstanding contributions to information and telecommunications technologies.
-
B.
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.
-
C.
Kyoto Prize
The Kyoto Prize is a prestigious international award from Japan that honors individuals worldwide for outstanding contributions to science, technology, arts, and philosophy.
-
D.
Toppan Prize
The Toppan Prize is a prestigious academic award at Harvard University recognizing outstanding doctoral dissertations in the social sciences.
-
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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d760008190930228fa77b61b8b |
completed | April 9, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3453d181081908cb58a957f4d1295 |
completed | April 18, 2026, 8:47 a.m. |
Created at: April 8, 2026, 9:25 p.m.