Triple
T11464978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Street Scene |
E271755
|
entity |
| Predicate | hasPulitzerPrizeSourceMaterial |
P99722
|
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: [Street Scene, hasPulitzerPrizeSourceMaterial, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPulitzerPrizeSourceMaterial Context triple: [Street Scene, hasPulitzerPrizeSourceMaterial, true]
-
A.
basedOnSourceMaterialForNotableWork
Indicates that one entity serves as the source material or inspiration for another entity that is a notable work.
-
B.
writtenByNobelLaureate
Indicates that the work or document was authored by a person who has received a Nobel Prize.
-
C.
hasLiterarySourceMedium
Indicates that something derives from, is based on, or is expressed through a particular literary medium (such as a book, poem, or script).
-
D.
hasAuthorOfSourceMaterial
Indicates that one entity is the creator or writer of the original source material on which another entity is based.
-
E.
literarySource
Indicates that one entity serves as the written or literary origin, reference, or basis for another entity.
- 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.