Triple

T14369170
Position Surface form Disambiguated ID Type / Status
Subject Harold Jeffreys E356313 entity
Predicate familyName P18 FINISHED
Object Jeffreys E767725 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: Jeffreys | Statement: [Harold Jeffreys, familyName, Jeffreys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffreys
Context triple: [Harold Jeffreys, familyName, Jeffreys]
  • A. Jeffreys chosen
    Jeffreys is an English surname most notably associated with George Jeffreys, the 17th-century judge infamously known as the "Hanging Judge."
  • B. J. G. Jeffreys
    J. G. Jeffreys was a British educator best known for establishing the progressive independent Bryanston School in Dorset in the early 20th century.
  • C. Maskelyne
    Maskelyne is a lunar impact crater located on the Moon's near side within the Mare Tranquillitatis region.
  • D. Eddington
    Eddington is a surname most famously associated with Arthur Stanley Eddington, the influential English astrophysicist who helped confirm Einstein’s theory of general relativity.
  • E. Eddington
    Eddington is a small town in Penobscot County, Maine, known for its rural character and proximity to the Bangor metropolitan area.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb0b8988190ab834a85911c015c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c51bf888190b1776461884c4514 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.