Triple

T15034028
Position Surface form Disambiguated ID Type / Status
Subject Prospero and Ariel E378433 entity
Predicate creator P184 FINISHED
Object Eric Gill E350480 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: Eric Gill | Statement: [Prospero and Ariel, creator, Eric Gill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Gill
Context triple: [Prospero and Ariel, creator, Eric Gill]
  • A. Eric Gill chosen
    Eric Gill was a British sculptor, typeface designer, and printmaker known for his influential work in the early 20th century and for designing typefaces such as Gill Sans.
  • B. Eric Goudy
    Eric Goudy is a motorsport journalist known for his contributions to racing coverage and analysis.
  • C. Harry E. Clarke
    Harry E. Clarke was an American lawyer who served on the defense team for Japanese General Tomoyuki Yamashita during his post–World War II war crimes trial.
  • D. Edward Johnston
    Edward Johnston was a British calligrapher and type designer best known for creating the iconic sans-serif typeface used by the London Underground.
  • E. William Lethaby
    William Lethaby was a prominent British architect, designer, and theorist associated with the Arts and Crafts movement and influential in the development of modern architectural education.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e3a7c8819081f26c2435c1bcb2 completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dddd0208190b2dac7a078de2931 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:59 a.m.