Triple
T6003265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA Western Conference Coach of the Month |
E133645
|
entity |
| Predicate | numberOfAwardsPerMonth |
P2205
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [NBA Western Conference Coach of the Month, numberOfAwardsPerMonth, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAwardsPerMonth Context triple: [NBA Western Conference Coach of the Month, numberOfAwardsPerMonth, 1]
-
A.
awardedFrequency
chosen
Indicates how often an award or recognition is given within a specified time period.
-
B.
numberOfAwards
Indicates the total count of awards that have been received by an entity.
-
C.
awardedSince
Indicates that an entity has been receiving a particular award continuously from a specified starting time onward.
-
D.
typicalAwardAmount
Indicates the usual or most common amount of an award given in this relationship.
-
E.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f0f63148190826198281dce3713 |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.