Triple

T22884845
Position Surface form Disambiguated ID Type / Status
Subject If I Should Fall from Grace with God E567574 entity
Predicate featuresMember P17143 FINISHED
Object James Fearnley 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: James Fearnley | Statement: [If I Should Fall from Grace with God, featuresMember, James Fearnley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Fearnley
Context triple: [If I Should Fall from Grace with God, featuresMember, James Fearnley]
  • A. James Fearnley chosen
    James Fearnley is an English accordionist and musician best known as a founding member of the Celtic punk band The Pogues.
  • B. Charles Fearnley
    Charles Fearnley was a New Zealand architect known for his influential modernist designs, including major public buildings in Wellington.
  • C. James Fawcett
    James Fawcett was an architect best known for co-designing Melbourne’s iconic Flinders Street Station.
  • D. Frederick Etchells
    Frederick Etchells was a British artist, architect, and translator best known for his involvement in the early 20th-century avant-garde, particularly the Vorticist movement.
  • E. William Fretter
    William Fretter was an American physicist and academic known for his work at the University of California, Berkeley, where he mentored notable students and contributed to physics education and administration.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fbfc5848190aa612ea51df5a9ec completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.