Triple
T1168492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA Eastern Conference Coach of the Month |
E24854
|
entity |
| Predicate | firstAwardedConferenceSplit |
P14850
|
FINISHED |
| Object | 1982–83 NBA season |
—
|
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: 1982–83 NBA season | Statement: [NBA Eastern Conference Coach of the Month, firstAwardedConferenceSplit, 1982–83 NBA season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAwardedConferenceSplit Context triple: [NBA Eastern Conference Coach of the Month, firstAwardedConferenceSplit, 1982–83 NBA season]
-
A.
firstAwarded
Indicates the time or occasion when an award, honor, or recognition was given for the very first time.
-
B.
originalConference
Indicates that an entity was first presented, published, or introduced at a particular conference.
-
C.
conflictOfFirstAwards
Indicates that there is a conflict or discrepancy between the initial awards or first recognitions associated with the related entities.
-
D.
firstWinnerYear
chosen
Indicates the year in which an entity first won a particular competition, award, or title.
-
E.
firstCeremony
Indicates that an entity participates in or is associated with the earliest or initial ceremony in a sequence or 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccef84481908864e819884af86c |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.