Triple
T11566709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Washington Book Prize |
E274270
|
entity |
| Predicate | oneOfLargestPrizesIn |
P22098
|
FINISHED |
| Object | non-fiction American history |
—
|
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: non-fiction American history | Statement: [George Washington Book Prize, oneOfLargestPrizesIn, non-fiction American history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfLargestPrizesIn Context triple: [George Washington Book Prize, oneOfLargestPrizesIn, non-fiction American history]
-
A.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
B.
prizeOfficialName
Indicates the formal, officially recognized name assigned to a prize.
-
C.
isMajorAwardIn
chosen
Indicates that an award is considered a major or highly significant award within a specified context, such as a field, event, or organization.
-
D.
formerTopPrize
Indicates that an entity once held the highest or most prestigious prize or award in a given context, but no longer does.
-
E.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd4305c8190ac5ff490b6b63e12 |
completed | April 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:37 p.m.