Triple

T8359643
Position Surface form Disambiguated ID Type / Status
Subject Hotelling’s T-squared statistic E196772 entity
Predicate usedIn P98 FINISHED
Object Hotelling’s T-squared distribution E196772 NE 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: Hotelling’s T-squared distribution | Statement: [Hotelling’s T-squared statistic, usedIn, Hotelling’s T-squared distribution]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hotelling’s T-squared distribution
Context triple: [Hotelling’s T-squared statistic, usedIn, Hotelling’s T-squared distribution]
  • A. Hotelling’s T-squared distribution chosen
    Hotelling’s T-squared distribution is a multivariate generalization of Student’s t-distribution used primarily for hypothesis testing and constructing confidence regions for mean vectors in multivariate statistics.
  • B. Student’s t-distribution
    Student’s t-distribution is a continuous probability distribution used primarily to estimate population means and conduct hypothesis tests when sample sizes are small and population variance is unknown.
  • C. Wishart distribution
    The Wishart distribution is a fundamental probability distribution over positive-definite matrices that generalizes the chi-squared distribution to multiple dimensions and underpins many multivariate statistical methods.
  • D. Tukey's honestly significant difference test
    Tukey's honestly significant difference test is a statistical post-hoc procedure used to determine which specific group means differ after an ANOVA indicates a significant overall effect.
  • E. Tukey's lambda distribution
    Tukey's lambda distribution is a flexible family of probability distributions used primarily for exploratory data analysis and modeling diverse shapes of data, including varying degrees of skewness and kurtosis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb807134008190b4671326e0414210 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce395d11748190b7568be1d43d7859 completed April 2, 2026, 9:39 a.m.
Created at: March 30, 2026, 6 p.m.