Triple

T14527134
Position Surface form Disambiguated ID Type / Status
Subject Eyvind Earle E340807 entity
Predicate name P16 FINISHED
Object Eyvind Earle E340807 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: Eyvind Earle | Statement: [Eyvind Earle, name, Eyvind Earle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eyvind Earle
Context triple: [Eyvind Earle, name, Eyvind Earle]
  • A. Eyvind Earle chosen
    Eyvind Earle was an American artist and illustrator best known for his distinctive stylized backgrounds and visual design work for Walt Disney, particularly in mid-20th-century animated films.
  • B. Terry Gilkyson
    Terry Gilkyson was an American folk singer and songwriter best known for penning classic Disney songs, including "The Bare Necessities" from The Jungle Book.
  • C. Ed Dorn
    Ed Dorn was an American poet associated with the Black Mountain school, known for his incisive, often politically charged verse and his long poem "Gunslinger."
  • D. Owen Strand
    Owen Strand is a fictional New York firefighter captain who relocates to Austin, Texas to rebuild a firehouse and lead its diverse crew in the TV series "9-1-1: Lone Star."
  • E. George N. Seger
    George N. Seger was a Republican U.S. Representative from New Jersey who served in Congress during the early 20th century.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea050781881909ed685d94479bf99 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a52260881909a0d85603666107d completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.