Triple
T20656599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schoonschip |
E507641
|
entity |
| Predicate | creatorAwardConnection |
P140945
|
FINISHED |
| Object | used in work that contributed to Martinus Veltman’s Nobel Prize in Physics |
—
|
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: used in work that contributed to Martinus Veltman’s Nobel Prize in Physics | Statement: [Schoonschip, creatorAwardConnection, used in work that contributed to Martinus Veltman’s Nobel Prize in Physics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorAwardConnection Context triple: [Schoonschip, creatorAwardConnection, used in work that contributed to Martinus Veltman’s Nobel Prize in Physics]
-
A.
hasNotableAwardCreatedBy
Indicates that an award received by an entity was created or established by a specific creator or organization.
-
B.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
C.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
D.
coRecipientOfAward
Indicates that two or more entities jointly received the same award.
-
E.
creatorAwardYear
Indicates the year in which a creator received a particular award.
- F. None of above. chosen
Provenance (4 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2ed48308190b9350a323b9a7952 |
completed | April 20, 2026, 11:12 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 11:43 a.m.