Triple

T10478413
Position Surface form Disambiguated ID Type / Status
Subject Question Time (BBC TV programme) E247105 entity
Predicate previousHost P46400 FINISHED
Object Robin Day E116907 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: Robin Day | Statement: [Question Time (BBC TV programme), previousHost, Robin Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robin Day
Context triple: [Question Time (BBC TV programme), previousHost, Robin Day]
  • A. Robin Day chosen
    Robin Day was a prominent British political broadcaster and television journalist, best known for his pioneering work on BBC current affairs programmes.
  • B. Alice Dainard
    Alice Dainard is a central teenage character in the science fiction film "Super 8," known for her emotional depth and involvement in the mysterious events surrounding a catastrophic train crash.
  • C. John Rose
    John Rose is a Republican U.S. Representative from Tennessee who serves in the House of Representatives.
  • D. Dilys Thomas
    Dilys Thomas was the mother of British broadcaster and historian Jonathan Dimbleby.
  • E. Mary Garrard
    Mary Garrard is an American art historian and feminist scholar best known for her influential work on women artists such as Artemisia Gentileschi and for advancing feminist perspectives in art history.
  • 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_69d5190da7f081908c38b5964a567e37 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a02aa2748190902f5c08afd7dda9 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:21 p.m.