Triple
T763836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Steinbeck |
E16129
|
entity |
| Predicate | dateAwarded Nobel Prize in Literature |
P18938
|
FINISHED |
| Object | 1962 |
—
|
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: 1962 | Statement: [John Steinbeck, dateAwarded Nobel Prize in Literature, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateAwarded Nobel Prize in Literature Context triple: [John Steinbeck, dateAwarded Nobel Prize in Literature, 1962]
-
A.
writtenByNobelLaureate
Indicates that the work or document was authored by a person who has received a Nobel Prize.
-
B.
NobelPrizeCategory
Indicates the specific Nobel Prize field or discipline (such as Physics, Literature, or Peace) associated with an award or laureate.
-
C.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
D.
nobelPrizeRelated
Indicates that there is a connection or association between an entity and the Nobel Prize, such as receiving, being nominated for, or otherwise being significantly linked to it.
-
E.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a69c8c448190a036a04fd8fdd2c2 |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a506106081909ef97a679ff00a5a |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5a35c68819082429755c046e9a7 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.