Triple
T8359619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Hotelling |
E196771
|
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: [Harold Hotelling, influencedBy, Karl Pearson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Pearson Context triple: [Harold Hotelling, 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.
Egon Pearson
Egon Pearson was a British statistician best known for co-developing the Neyman–Pearson lemma, a fundamental result in hypothesis testing.
-
D.
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.
-
E.
Harold Jeffreys
Harold Jeffreys was a British mathematician, geophysicist, and statistician renowned for his foundational contributions to probability theory, Bayesian statistics, and the study of the Earth's interior.
- 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_69ce029ea6b48190aca98c579a4fbe94 |
completed | April 2, 2026, 5:46 a.m. |
Created at: March 30, 2026, 6 p.m.