Triple
T24081871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Student’s t-distribution |
E596524
|
entity |
| Predicate | sufficientStatisticContext |
P152812
|
FINISHED |
| Object | sample mean with unknown variance in normal model |
—
|
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: sample mean with unknown variance in normal model | Statement: [Student’s t-distribution, sufficientStatisticContext, sample mean with unknown variance in normal model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sufficientStatisticContext Context triple: [Student’s t-distribution, sufficientStatisticContext, sample mean with unknown variance in normal model]
-
A.
sufficientStatistic
chosen
Indicates that one variable or set of variables contains all the information needed from the data to infer or estimate another variable or parameter, making the rest of the data irrelevant for that purpose.
-
B.
statisticsConsidered
Indicates that certain statistics are taken into account or used as a basis in a decision, analysis, or evaluation involving the related entities.
-
C.
successorContext
Indicates that one context directly follows and continues from another in a sequence or process.
-
D.
hasStatistics
Indicates that an entity is associated with one or more statistical measures, records, or summaries describing its quantitative properties or performance.
-
E.
standardizationContext
Indicates the context, framework, or setting within which a standardization process or activity is defined or applied.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc24b0d081909fcae5e34c6e3b98 |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:43 p.m.