Triple
T28187879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | レイモンド・デイヴィス・ジュニア |
E716225
|
entity |
| Predicate | ノーベル賞受賞理由 |
P4837
|
FINISHED |
| Object | 太陽ニュートリノの検出に関する先駆的貢献 |
—
|
LITERAL 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: 太陽ニュートリノの検出に関する先駆的貢献 | Statement: [レイモンド・デイヴィス・ジュニア, ノーベル賞受賞理由, 太陽ニュートリノの検出に関する先駆的貢献]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ノーベル賞受賞理由 Context triple: [レイモンド・デイヴィス・ジュニア, ノーベル賞受賞理由, 太陽ニュートリノの検出に関する先駆的貢献]
-
A.
NobelPrizeMotivation
Indicates the specific reason or citation for which a Nobel Prize was awarded to a recipient.
-
B.
NobelPrize.motivation
chosen
Indicates the official reason or justification given for awarding a particular Nobel Prize.
-
C.
NobelPrizeCategory
Indicates the specific Nobel Prize field or discipline (such as Physics, Literature, or Peace) associated with an award or laureate.
-
D.
dateAwarded Nobel Prize in Literature
Indicates the specific date on which an entity received the Nobel Prize in Literature.
-
E.
receivedAbelPrizeWith
Indicates that two or more entities jointly received the Abel Prize in the same year or for the same recognized work.
- F. None of above.
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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 10:24 p.m.