Triple
T7454044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Pearson |
E172073
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Egon Pearson
Egon Pearson was a British statistician best known for co-developing the Neyman–Pearson lemma, a fundamental result in hypothesis testing.
|
E665242
|
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: Egon Pearson | Statement: [Karl Pearson, child, Egon Pearson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egon Pearson Context triple: [Karl Pearson, child, Egon Pearson]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Fred Mosteller
Fred Mosteller was an influential American statistician and educator known for his pioneering work in mathematical statistics, statistics education, and applications of statistics to public policy and medicine.
-
E.
Kenneth C. Royall
Kenneth C. Royall was an American lawyer, military officer, and politician who served as the last U.S. Secretary of War before becoming the first Secretary of the Army.
- 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: Egon Pearson Triple: [Karl Pearson, child, Egon Pearson]
Generated description
Egon Pearson was a British statistician best known for co-developing the Neyman–Pearson lemma, a fundamental result in hypothesis testing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Egon Pearson Target entity description: Egon Pearson was a British statistician best known for co-developing the Neyman–Pearson lemma, a fundamental result in hypothesis testing.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Fred Mosteller
Fred Mosteller was an influential American statistician and educator known for his pioneering work in mathematical statistics, statistics education, and applications of statistics to public policy and medicine.
-
E.
Kenneth C. Royall
Kenneth C. Royall was an American lawyer, military officer, and politician who served as the last U.S. Secretary of War before becoming the first Secretary of the Army.
- 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_69c6f3addd648190b618bfbffe08db2c |
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.