Triple
T3784528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naismith College Player of the Year |
E85496
|
entity |
| Predicate | hasSeparateAwardFor |
P51490
|
FINISHED |
| Object | men’s college basketball |
—
|
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: men’s college basketball | Statement: [Naismith College Player of the Year, hasSeparateAwardFor, men’s college basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeparateAwardFor Context triple: [Naismith College Player of the Year, hasSeparateAwardFor, men’s college basketball]
-
A.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
B.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
C.
hasMultipleAwardsIndicatedBy
Indicates that an entity is recognized as having received multiple awards, as evidenced or signaled by a specified source or indicator.
-
D.
isIndividualOrTeamAward
Indicates that an award is given either to a single individual or collectively to a team, rather than to another type of recipient.
-
E.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
| PDg | Predicate description generation | batch_69aee633dab88190b14cec8afb19ca6a |
completed | March 9, 2026, 3:24 p.m. |
Created at: March 9, 2026, 3:13 p.m.