Triple
T10801837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar Robertson Triple-Double Award |
E254855
|
entity |
| Predicate | hasAssociatedStatistic |
P3976
|
FINISHED |
| Object | triple-double |
—
|
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: triple-double | Statement: [Oscar Robertson Triple-Double Award, hasAssociatedStatistic, triple-double]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedStatistic Context triple: [Oscar Robertson Triple-Double Award, hasAssociatedStatistic, triple-double]
-
A.
hasStatistics
chosen
Indicates that an entity is associated with one or more statistical measures, records, or summaries describing its quantitative properties or performance.
-
B.
hasStatisticalRole
Indicates that an entity participates in a context (such as a study, dataset, or analysis) with a specific statistical function or role (e.g., variable, parameter, estimator).
-
C.
hasTestStatistic
Indicates that a given test or analysis is associated with a specific numerical test statistic value.
-
D.
hasStatisticsPage
Indicates that an entity is associated with a dedicated page or resource presenting statistical information about it.
-
E.
hasStatisticsAgency
Indicates that an entity is officially served or overseen by a particular statistics agency responsible for collecting and providing its statistical data.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7336dedec819099bd302c5d213dba |
completed | April 9, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:18 p.m.