Triple

T7454051
Position Surface form Disambiguated ID Type / Status
Subject Karl Pearson E172073 entity
Predicate influenced P9 FINISHED
Object Egon Pearson E665242 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: Egon Pearson | Statement: [Karl Pearson, influenced, Egon Pearson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egon Pearson
Context triple: [Karl Pearson, influenced, Egon Pearson]
  • A. Egon Pearson chosen
    Egon Pearson was a British statistician best known for co-developing the Neyman–Pearson lemma, a fundamental result in hypothesis testing.
  • B. Jerzy Neyman
    Jerzy Neyman was a pioneering Polish statistician best known for developing the Neyman–Pearson lemma and foundational concepts of hypothesis testing and confidence intervals.
  • C. 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.
  • D. Karl Pearson
    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.
  • E. Henry Wilcoxon
    Henry Wilcoxon was a British actor best known for his leading roles in 1930s and 1940s Hollywood epics and for his frequent collaborations with director Cecil B. DeMille.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3addd648190b618bfbffe08db2c completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c845f494b481908c1860ad1662fa92 completed March 28, 2026, 9:19 p.m.
Created at: March 27, 2026, 3:14 p.m.