Triple

T17044344
Position Surface form Disambiguated ID Type / Status
Subject Roger McGough E413525 entity
Predicate name P16 FINISHED
Object Roger McGough E413525 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: Roger McGough | Statement: [Roger McGough, name, Roger McGough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger McGough
Context triple: [Roger McGough, name, Roger McGough]
  • A. Roger McGough chosen
    Roger McGough is a prominent English poet, performer, and broadcaster associated with the Liverpool poets movement and known for his witty, accessible verse.
  • B. Douglas Dunn
    Douglas Dunn is a Scottish poet, editor, and academic known for his reflective verse and significant contributions to contemporary British poetry.
  • C. Michael Rosen
    Michael Rosen is a British children's author, poet, and broadcaster known for his humorous and emotionally resonant works such as "We're Going on a Bear Hunt."
  • D. Malcolm Drummond
    Malcolm Drummond was a British painter associated with early 20th-century urban and domestic scenes, best known for his involvement in the Camden Town Group of Post-Impressionist artists.
  • E. Tony Harrison
    Tony Harrison is an English poet and playwright renowned for his politically charged verse and innovative use of vernacular language.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9c112c81908232dc6908d831cf completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233cd3d48190b002951881ef670b completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.