Triple

T8912860
Position Surface form Disambiguated ID Type / Status
Subject Statistical Methods for Research Workers E212224 entity
Predicate influencedBy P9 FINISHED
Object Karl Pearson E172073 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: Karl Pearson | Statement: [Statistical Methods for Research Workers, influencedBy, Karl Pearson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl Pearson
Context triple: [Statistical Methods for Research Workers, influencedBy, Karl Pearson]
  • A. Karl Pearson chosen
    Karl Pearson was a pioneering British statistician and eugenicist who helped found the modern field of mathematical statistics and developed key concepts such as the Pearson correlation coefficient and chi-squared test.
  • B. Ronald A. Fisher
    Ronald A. Fisher was a pioneering British statistician and geneticist whose work helped found modern statistical science and unify Mendelian genetics with Darwinian evolution.
  • C. William Sealy Gosset
    William Sealy Gosset was an English statistician and brewer best known for developing Student’s t-distribution and pioneering small-sample statistical methods.
  • D. Egon Pearson
    Egon Pearson was a British statistician best known for co-developing the Neyman–Pearson lemma, a fundamental result in hypothesis testing.
  • E. Francis Galton
    Francis Galton was a 19th-century English polymath known for pioneering work in statistics, eugenics, and the study of human heredity and intelligence.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6525d1408190a76522d7c4ac37da completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b3a8a248190aa32981bdcbe570d completed April 4, 2026, 5:01 a.m.
Created at: March 30, 2026, 6:56 p.m.