Triple
T8244946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Laymon President’s Award |
E192828
|
entity |
| Predicate | hasNoMonetaryPrize |
P81127
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Richard Laymon President’s Award, hasNoMonetaryPrize, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoMonetaryPrize Context triple: [Richard Laymon President’s Award, hasNoMonetaryPrize, true]
-
A.
notAwardedIn
Indicates that a particular award or recognition was not given to an entity within a specified context, such as a year, event, or category.
-
B.
hasPrizeMoney
Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
-
C.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
D.
hasGrandPrize
Indicates that an entity possesses, is awarded, or is associated with a grand prize in a given context.
-
E.
notAwardedFor
Indicates that a particular award, prize, or honor was explicitly not given in recognition of a specified work, achievement, or entity.
- F. None of above. chosen
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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7872f6d481909ea1d3c2aad1a2b1 |
completed | March 31, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb447c146081909decf97bbd26c496 |
completed | March 31, 2026, 3:50 a.m. |
Created at: March 30, 2026, 5:47 p.m.