Triple

T10465450
Position Surface form Disambiguated ID Type / Status
Subject An Education E246782 entity
Predicate composer P1361 FINISHED
Object Paul Englishby E717044 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: Paul Englishby | Statement: [An Education, composer, Paul Englishby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Englishby
Context triple: [An Education, composer, Paul Englishby]
  • A. Paul Englishby chosen
    Paul Englishby is a British composer known for his film, television, and theatre scores, including work on acclaimed dramas and stage productions.
  • B. Paul English
    Paul English was an American country music drummer best known for his long-time collaboration with Willie Nelson as a member of his backing band, the Family.
  • C. Peter Horbury
    Peter Horbury was a prominent British automotive designer and executive known for leading design at major car manufacturers including Volvo, Ford, Geely, and later Lotus.
  • D. Michael English
    Michael English is an American contemporary Christian and Southern gospel singer known for his powerful vocals and successful solo career in Christian music.
  • E. Paul Groves
    Paul Groves is an American operatic tenor acclaimed for his performances in major international opera houses and concert halls.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50886c2a8819086da6c08356ec6bf completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fe6129881908c658ff977e68135 completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.