Triple
T2291663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All-NBA Second Team |
E51516
|
entity |
| Predicate | selectionTiming |
P15508
|
FINISHED |
| Object | after conclusion of regular 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: after conclusion of regular season | Statement: [All-NBA Second Team, selectionTiming, after conclusion of regular season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionTiming Context triple: [All-NBA Second Team, selectionTiming, after conclusion of regular season]
-
A.
timingMethod
Indicates the method or technique used to measure or record the timing of an event or process.
-
B.
commitmentTiming
Indicates the point in time or period relative to an event or agreement when a commitment is made, becomes effective, or is expected to be fulfilled.
-
C.
selectionOrderInfluencedBy
Indicates that the order in which items are selected is affected or determined by another factor, condition, or entity.
-
D.
votingTiming
chosen
Indicates the temporal relationship specifying when a voting action occurs relative to a defined event or period.
-
E.
selectionCharacteristic
Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:48 p.m.