Triple

T6429032
Position Surface form Disambiguated ID Type / Status
Subject Francis Galton E128131 entity
Predicate familyName P18 FINISHED
Object Galton E530216 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: Galton | Statement: [Francis Galton, familyName, Galton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galton
Context triple: [Francis Galton, familyName, Galton]
  • A. 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.
  • B. Galton family chosen
    The Galton family is a prominent English Quaker and later scientific and industrial family best known for producing figures such as statistician and polymath Francis Galton.
  • C. Robert Galton
    Robert Galton was a member of the prominent Galton family of English industrialists and intellectuals active in the late 18th and early 19th centuries.
  • D. Samuel Galton Jr.
    Samuel Galton Jr. was an English Quaker industrialist and gun manufacturer known for his involvement in the Midlands Enlightenment through the Lunar Society of Birmingham.
  • E. 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.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06923b12081908a09543450b88c24 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640e678608190b5a1dcd1076bc1f2 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:44 p.m.