Triple
T35072053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cormac McCarthy bibliography |
E1011904
|
entity |
| Predicate | includesAwardWinningWork |
—
|
GENERATED |
| Object | All the Pretty Horses |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesAwardWinningWork Context triple: [Cormac McCarthy bibliography, includesAwardWinningWork, All the Pretty Horses]
-
A.
hasAwardWinningPart
Indicates that an entity includes or is associated with a component, role, or element that has received an award for excellence.
-
B.
alsoAwardedIn
Indicates that the same award or recognition was given in an additional time, place, or context beyond the primary one.
-
C.
isAward
Indicates that one entity functions as an award or prize that is given or conferred to another entity.
-
D.
hasMultipleAwardsIndicatedBy
Indicates that an entity is recognized as having received multiple awards, as evidenced or signaled by a specified source or indicator.
-
E.
notableAwardWork
chosen
Indicates that a work is the specific creation (e.g., book, film, artwork) for which an award or honor was given.
- F. None of above.
Provenance (1 batch)
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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.