Triple
T19670818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beginner's Guide to Winning the Nobel Prize |
E472328
|
entity |
| Predicate | hasAuthorNobelPrizeYear |
P53973
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [The Beginner's Guide to Winning the Nobel Prize, hasAuthorNobelPrizeYear, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorNobelPrizeYear Context triple: [The Beginner's Guide to Winning the Nobel Prize, hasAuthorNobelPrizeYear, 1996]
-
A.
authorNobelYear
chosen
Indicates the year in which an author received a Nobel Prize.
-
B.
NobelPrizeYear
Indicates the specific year in which an entity received or was awarded a Nobel Prize.
-
C.
authorNobelLaureate
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.
alumnusNobelPrizeYear
Indicates the year in which an alumnus 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416b9cf8819096f44e3f9fbf86fa |
completed | April 20, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69e514eb37b8819091502cc954f70eba |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:45 p.m.