Triple
T18058953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fridolins lustgård och Dalmålningar på rim |
E432114
|
entity |
| Predicate | hasAuthorNobelPrizeInLiterature |
P90396
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Fridolins lustgård och Dalmålningar på rim, hasAuthorNobelPrizeInLiterature, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorNobelPrizeInLiterature Context triple: [Fridolins lustgård och Dalmålningar på rim, hasAuthorNobelPrizeInLiterature, true]
-
A.
authorIsFirstNobelLaureateInLiterature
Indicates that the author is the very first person ever awarded the Nobel Prize in Literature.
-
B.
writtenByNobelLaureate
Indicates that the work or document was authored by a person who has received a Nobel Prize.
-
C.
authorNobelLaureate
chosen
Indicates that the author is a recipient of a Nobel Prize.
-
D.
hasAuthorNobelEquivalent
Indicates that the author of the work has received an award considered equivalent in prestige or recognition to a Nobel Prize in their field.
-
E.
authorNobelYear
Indicates the year in which an author received a Nobel Prize.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c1048c00819097c7dfbf76bb0987 |
completed | April 19, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:26 a.m.