Triple
T35072053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cormac McCarthy bibliography |
E1011904
|
entity |
| Predicate | includesAwardWinningWork |
P17579
|
FINISHED |
| Object | All the Pretty Horses |
E309666
|
NE 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: All the Pretty Horses | Statement: [Cormac McCarthy bibliography, includesAwardWinningWork, All the Pretty Horses]
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 (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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38369913e081909784a08500a0f9f3 |
completed | June 21, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.