Triple
T10915566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Biasone |
E257812
|
entity |
| Predicate | proposedRuleChange |
P21476
|
FINISHED |
| Object | 24-second shot clock |
—
|
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: 24-second shot clock | Statement: [Danny Biasone, proposedRuleChange, 24-second shot clock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedRuleChange Context triple: [Danny Biasone, proposedRuleChange, 24-second shot clock]
-
A.
notableRuleChange
Indicates a significant modification to an established rule or set of rules that meaningfully alters how they apply or are enforced.
-
B.
proposedAmendment
chosen
Indicates that one entity has formally suggested a change or addition (an amendment) to another entity, such as a document, law, or agreement.
-
C.
proposedTaxPolicyChange
Indicates that an entity has put forward a modification or new approach to existing tax rules or structures for consideration or implementation.
-
D.
typicalRuleModification
Indicates a change made to a standard or default rule, adjusting how that rule normally applies or operates.
-
E.
amendmentMechanism
Indicates the process or rules by which an agreement, document, or system can be formally changed or updated.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77074c77c8190af91369eee11f1b7 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d70d3f9dc88190a686a8b0dd6a3b21 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.