Triple

T7546435
Position Surface form Disambiguated ID Type / Status
Subject Henry Galton Darwin E178414 entity
Predicate middleName P143 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: [Henry Galton Darwin, middleName, Galton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galton
Context triple: [Henry Galton Darwin, middleName, 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89963ec8190ae7b8a2b9508c074 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2662f881909f65c936be9eab56 completed March 28, 2026, 9:59 p.m.
Created at: March 27, 2026, 3:49 p.m.