Triple
T6003269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA Western Conference Coach of the Month |
E133645
|
entity |
| Predicate | isNonPlayerAward |
P28153
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [NBA Western Conference Coach of the Month, isNonPlayerAward, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonPlayerAward Context triple: [NBA Western Conference Coach of the Month, isNonPlayerAward, yes]
-
A.
isNonPlayingAward
chosen
Indicates that an award is given for contributions not involving active participation in the game or performance itself.
-
B.
isPlayerAward
Indicates that an award is designated specifically for a player, representing a recognition or honor given to an individual participant.
-
C.
isSpecialAwardOf
Indicates that an award is a distinctive or exceptional honor specifically given to a particular entity (such as a person, work, or organization).
-
D.
isNonStatisticalAward
Indicates that an award is based on subjective or qualitative criteria rather than on statistical or numerical performance measures.
-
E.
isCivilianAward
Indicates that an award is designated for civilians rather than military or combat-related recipients.
- 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.