Triple
T11464980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Street Scene |
E271755
|
entity |
| Predicate | yearOfWorkBasedOnPrize |
P99723
|
FINISHED |
| Object | 1929 |
—
|
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: 1929 | Statement: [Street Scene, yearOfWorkBasedOnPrize, 1929]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfWorkBasedOnPrize Context triple: [Street Scene, yearOfWorkBasedOnPrize, 1929]
-
A.
yearOfFinalAward
Indicates the specific calendar year in which the final instance of an award was given or conferred.
-
B.
awardForYear
Indicates that an award is associated with, or was given in, a specific year.
-
C.
awardReceivedYear
Indicates the specific year in which an entity received a particular award.
-
D.
namedAfterAwardYear
Indicates that one entity is named after the year in which a particular award was given or received.
-
E.
typicalNumberOfLaureatesPerYear
Indicates the usual or average number of laureates associated with a given award or context in a single year.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:35 p.m.