Triple

T19973077
Position Surface form Disambiguated ID Type / Status
Subject George Gardner Symons E480126 entity
Predicate name P16 FINISHED
Object George Gardner Symons 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: George Gardner Symons | Statement: [George Gardner Symons, name, George Gardner Symons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Gardner Symons
Context triple: [George Gardner Symons, name, George Gardner Symons]
  • A. George Gardner Symons chosen
    George Gardner Symons was an American Impressionist painter known for his vibrant landscapes and atmospheric depictions of nature.
  • B. George James Symons
    George James Symons was a pioneering 19th-century British meteorologist renowned for his extensive rainfall observations and contributions to systematic weather data collection.
  • C. William Symons
    William Symons was an Australian soldier and Victoria Cross recipient noted for his bravery during World War I.
  • D. Henry Justin Smith
    Henry Justin Smith was an influential American newspaper editor and author best known for his leadership at the Chicago Daily News in the early 20th century.
  • E. Henry Walter Simister
    Henry Walter Simister was a British architect known for designing notable civic buildings, including the Council House in Coventry.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bca94c0819095c902a411c4c4b8 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.