Triple

T19447635
Position Surface form Disambiguated ID Type / Status
Subject Nevil E486522 entity
Predicate isLessCommonThan P19183 FINISHED
Object Nevill NE NERFINISHED

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: Nevill | Statement: [Nevil, isLessCommonThan, Nevill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nevill
Context triple: [Nevil, isLessCommonThan, Nevill]
  • A. Nevill chosen
    Nevill is a given name most notably borne by British physicist and Nobel laureate Sir Nevill Mott.
  • B. Nicholas de Farndone
    Nicholas de Farndone was a 14th-century Lord Mayor of London whose influence and landholdings in the area led to places such as Farringdon Street bearing his name.
  • C. Junior Bevil
    Junior Bevil is a fictional Jamaican bobsledder in the film "Cool Runnings," portrayed as a timid but good-hearted athlete who gradually gains confidence and stands up for himself.
  • D. Fitzwalter
    Fitzwalter is an English noble family name historically associated with medieval barons and landholders.
  • E. Mortimer
    Mortimer is a village and civil parish in West Berkshire, England, known for its rural character and commuter links to nearby Reading.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338b25d88190bc137a411576c73f completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.