Triple
T29504396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | alpha–beta pruning |
E748469
|
entity |
| Predicate | bestCaseComplexity |
P27167
|
FINISHED |
| Object | O(b^(d/2)) |
—
|
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: O(b^(d/2)) | Statement: [alpha–beta pruning, bestCaseComplexity, O(b^(d/2))]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestCaseComplexity Context triple: [alpha–beta pruning, bestCaseComplexity, O(b^(d/2))]
-
A.
bestCaseInput
Indicates the most favorable or optimal input conditions or values assumed for a given process, model, or scenario.
-
B.
timeComplexity
chosen
Indicates the computational growth rate of an algorithm’s resource usage (typically time) as a function of input size.
-
C.
bestKnownSingle
Indicates that the referenced item is the most prominent or widely recognized single associated with an entity (such as an artist or group).
-
D.
bestOnBest
Indicates that the relationship or action occurs under conditions where each side is using its strongest or highest-performing option against the other's strongest or highest-performing option.
-
E.
extremalCase
Indicates a relationship where a situation, value, or configuration represents the most extreme or boundary case within a given set, range, or conditions.
- 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_69f0bd455a9c8190b40a3e8ea38cf61f |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c35c9608190937a51b5de166390 |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 4:26 p.m.