Triple
T18229996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Truck Full of Money |
E436519
|
entity |
| Predicate | literaryAwardStatus |
P323
|
FINISHED |
| Object | critically reviewed nonfiction |
—
|
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: critically reviewed nonfiction | Statement: [A Truck Full of Money, literaryAwardStatus, critically reviewed nonfiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryAwardStatus Context triple: [A Truck Full of Money, literaryAwardStatus, critically reviewed nonfiction]
-
A.
pulitzerPrizeForDramaStatus
Indicates the status or outcome of a work’s consideration for the Pulitzer Prize for Drama (e.g., whether it was nominated, shortlisted, or won).
-
B.
awardedStatus
Indicates that a particular status, honor, or designation has been formally granted to an entity.
-
C.
NobelPrizeStatus
Indicates whether an entity has received, been nominated for, or otherwise holds a particular status related to the Nobel Prize.
-
D.
literaryAwardShortlist
Indicates that a work or creator has been officially selected as a finalist for a particular literary award.
-
E.
awardStatus
chosen
Indicates the current state or outcome of an award in relation to an entity, such as whether it has been granted, pending, rejected, or completed.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b284a8819088456c2af5fa1de5 |
completed | April 19, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:33 a.m.