Triple

T7454016
Position Surface form Disambiguated ID Type / Status
Subject Karl Pearson E172073 entity
Predicate notableWork P4 FINISHED
Object Pearson correlation coefficient
The Pearson correlation coefficient is a statistical measure that quantifies the strength and direction of the linear relationship between two continuous variables.
 E665236 NE FINISHED

How this triple was built (4 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: Pearson correlation coefficient | Statement: [Karl Pearson, notableWork, Pearson correlation coefficient]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pearson correlation coefficient
Context triple: [Karl Pearson, notableWork, Pearson correlation coefficient]
  • A. Spearman rank-order correlation coefficient
    The Spearman rank-order correlation coefficient is a nonparametric statistical measure that assesses the strength and direction of a monotonic relationship between two ranked variables.
  • B. distance covariance
    Distance covariance is a statistical measure that quantifies dependence between random variables, capable of detecting both linear and nonlinear associations.
  • C. Spearman–Brown prophecy formula
    The Spearman–Brown prophecy formula is a psychometric equation used to predict how changes in test length will affect the reliability of a measurement instrument.
  • D. Fisher's exact test
    Fisher's exact test is a statistical significance test used to determine whether there are nonrandom associations between two categorical variables in a contingency table, especially with small sample sizes.
  • E. Lounsbury correlation
    Lounsbury correlation is a proposed scholarly alignment of the Maya Long Count calendar with the Gregorian calendar that offers an alternative to the widely used Goodman–Martínez–Thompson correlation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pearson correlation coefficient
Triple: [Karl Pearson, notableWork, Pearson correlation coefficient]
Generated description
The Pearson correlation coefficient is a statistical measure that quantifies the strength and direction of the linear relationship between two continuous variables.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pearson correlation coefficient
Target entity description: The Pearson correlation coefficient is a statistical measure that quantifies the strength and direction of the linear relationship between two continuous variables.
  • A. Spearman rank-order correlation coefficient
    The Spearman rank-order correlation coefficient is a nonparametric statistical measure that assesses the strength and direction of a monotonic relationship between two ranked variables.
  • B. distance covariance
    Distance covariance is a statistical measure that quantifies dependence between random variables, capable of detecting both linear and nonlinear associations.
  • C. Spearman–Brown prophecy formula
    The Spearman–Brown prophecy formula is a psychometric equation used to predict how changes in test length will affect the reliability of a measurement instrument.
  • D. Fisher's exact test
    Fisher's exact test is a statistical significance test used to determine whether there are nonrandom associations between two categorical variables in a contingency table, especially with small sample sizes.
  • E. Lounsbury correlation
    Lounsbury correlation is a proposed scholarly alignment of the Maya Long Count calendar with the Gregorian calendar that offers an alternative to the widely used Goodman–Martínez–Thompson correlation.
  • F. None of above. chosen

Provenance (5 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3ac5c2081908ab03f8bd4586f94 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827bedc408190a9a77f293fb12762 completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c8290c62d0819080a1e1820364da88 completed March 28, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69c82958eddc8190ad1697969241ec39 completed March 28, 2026, 7:17 p.m.
Created at: March 27, 2026, 3:14 p.m.