Triple
T13639185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikma move |
E325929
|
entity |
| Predicate | counterTo |
P109536
|
FINISHED |
| Object | traditional back-to-the-basket post defense |
—
|
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: traditional back-to-the-basket post defense | Statement: [Sikma move, counterTo, traditional back-to-the-basket post defense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterTo Context triple: [Sikma move, counterTo, traditional back-to-the-basket post defense]
-
A.
counterplay
Indicates a responsive action or strategy taken to oppose, mitigate, or neutralize another party’s move or advantage.
-
B.
counterMeasureAgainst
chosen
Indicates a relationship where one entity serves as a response or defensive action intended to prevent, mitigate, or neutralize the effects of another entity.
-
C.
count
Indicates the numerical quantity or total number of instances of a specified entity or event.
-
D.
counterSlogan
Indicates that one slogan is created or used specifically to oppose, refute, or undermine another slogan.
-
E.
usesCounterpoint
Indicates that one entity employs counterpoint, combining independent melodic lines in a structured, interdependent musical relationship with another.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.