Triple
T24385083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Thousand Acres |
E614721
|
entity |
| Predicate | awardSourceMaterial |
P107
|
FINISHED |
| Object | Pulitzer Prize for Fiction (for the novel A Thousand Acres) |
—
|
NE NERFINISHED |
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: Pulitzer Prize for Fiction (for the novel A Thousand Acres) | Statement: [A Thousand Acres, awardSourceMaterial, Pulitzer Prize for Fiction (for the novel A Thousand Acres)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardSourceMaterial Context triple: [A Thousand Acres, awardSourceMaterial, Pulitzer Prize for Fiction (for the novel A Thousand Acres)]
-
A.
awardMaterial
Indicates that one entity grants or provides a tangible item or resource (a material) to another, typically as a form of recognition or reward.
-
B.
awardIncludes
Indicates that a particular award encompasses, contains, or is composed of the specified component, category, or sub-award.
-
C.
awardMedium
Indicates the medium or format through which an award is given, presented, or communicated.
-
D.
awardFor
chosen
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
awardEditionOf
Indicates that one entity is a specific edition or iteration of an award associated with another entity.
- 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_69e2d7e362e481909e32fe4ef8269d4f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294540000819099bacb398a36204f |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:03 a.m.