Triple

T14275470
Position Surface form Disambiguated ID Type / Status
Subject Bruno Tonioli E353903 entity
Predicate hasWorkedWith P9615 FINISHED
Object Tess Daly E353899 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: Tess Daly | Statement: [Bruno Tonioli, hasWorkedWith, Tess Daly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tess Daly
Context triple: [Bruno Tonioli, hasWorkedWith, Tess Daly]
  • A. Tess Daly chosen
    Tess Daly is a British television presenter best known for co-hosting the BBC’s popular dance competition show Strictly Come Dancing.
  • B. Madeleine Mantock
    Madeleine Mantock is a British actress known for her roles in genre television series, including prominent parts in action and supernatural dramas.
  • C. Pippa Bennett-Warner
    Pippa Bennett-Warner is a British actress known for her work in television, film, and theatre, including prominent roles in period dramas and contemporary series.
  • D. Sue Lawley
    Sue Lawley is a British broadcaster and journalist best known for her long-running role as host of the BBC radio programme Desert Island Discs.
  • E. Pippa Harris
    Pippa Harris is a British film and television producer, co-founder of Neal Street Productions, known for her collaborations with Sam Mendes on projects such as the World War I film "1917."
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6582f5308190969f4cfd724d9139 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326d35808190bbf3f6bbc50554f4 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.