Triple
T24385156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Thousand Acres (1997 film) |
E614725
|
entity |
| Predicate | literarySourceAward |
P10578
|
FINISHED |
| Object | Pulitzer Prize for Fiction |
—
|
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 | Statement: [A Thousand Acres (1997 film), literarySourceAward, Pulitzer Prize for Fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literarySourceAward Context triple: [A Thousand Acres (1997 film), literarySourceAward, Pulitzer Prize for Fiction]
-
A.
novelAward
Indicates that an entity has received an award specifically for a novel.
-
B.
notableAwardOfAuthor
Indicates that a particular award is a significant or distinguished honor received by the author.
-
C.
awardWithinFiction
Indicates that an award is given or exists within a fictional context or narrative world, rather than in real life.
-
D.
literarySource
chosen
Indicates that one entity serves as the written or literary origin, reference, or basis for another entity.
-
E.
dateAwarded Nobel Prize in Literature
Indicates the specific date on which an entity received the Nobel Prize in Literature.
- 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.