Triple
T31634957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wooden Award |
E807288
|
entity |
| Predicate | hasNotableEquivalent |
P119439
|
FINISHED |
| Object | Naismith College Player of the Year |
—
|
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: Naismith College Player of the Year | Statement: [Wooden Award, hasNotableEquivalent, Naismith College Player of the Year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableEquivalent Context triple: [Wooden Award, hasNotableEquivalent, Naismith College Player of the Year]
-
A.
notableCounterpart
chosen
Indicates that one entity is a particularly prominent or significant counterpart, equivalent, or parallel to another entity in some shared context.
-
B.
hasNotableInterpretationIn
Indicates that something (such as a work, concept, or symbol) has a significant or widely recognized interpretation within a specified context, field, or tradition.
-
C.
hasCulturalEquivalent
Indicates that one entity has a counterpart in another cultural context that plays a similar role, function, or meaning.
-
D.
hasTranslationEquivalent
Indicates that one expression in a given language corresponds in meaning to another expression in a different language.
-
E.
equivalentIn
Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a00b479c1588190af6e0698b7f8d7f7 |
completed | May 10, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_6a00b4158260819087d0cfad8b18cef4 |
completed | May 10, 2026, 4:36 p.m. |
Created at: April 30, 2026, 10:46 p.m.