Triple
T29514322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steele Prize for Expository Writing |
E748748
|
entity |
| Predicate | otherCategoriesInclude |
P174395
|
FINISHED |
| Object | Steele Prize for Lifetime Achievement |
—
|
NE NERFINISHED |
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: Steele Prize for Lifetime Achievement | Statement: [Steele Prize for Expository Writing, otherCategoriesInclude, Steele Prize for Lifetime Achievement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: otherCategoriesInclude Context triple: [Steele Prize for Expository Writing, otherCategoriesInclude, Steele Prize for Lifetime Achievement]
-
A.
classificationIncludes
Indicates that a broader classification category encompasses or contains a specified subclass, member, or element within its scope.
-
B.
subjectCategories
Indicates that an entity is associated with one or more subject-based categories or classifications.
-
C.
cornerCategory
Indicates that something is classified as belonging to a specific type or category of corner.
-
D.
commonsCategory
Indicates that an entity is associated with a specific media or topic category on Wikimedia Commons.
-
E.
apparentCategory
Indicates the category or type that something seems to belong to based on its observable characteristics, regardless of its true or underlying classification.
- 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_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f6c20f209081909fb9ac8f95069f04 |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c125695c81909704c67bef4ce5b2 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 28, 2026, 4:35 p.m.