Triple

T11183803
Position Surface form Disambiguated ID Type / Status
Subject Morwenna Banks E264607 entity
Predicate partner P1136 FINISHED
Object David Baddiel E910202 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: David Baddiel | Statement: [Morwenna Banks, partner, David Baddiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Baddiel
Context triple: [Morwenna Banks, partner, David Baddiel]
  • A. David Baddiel chosen
    David Baddiel is a British comedian, writer, and television presenter known for his work in stand-up, sketch comedy, and satirical writing.
  • B. Russell Howard
    Russell Howard is a distinguished solar physicist recognized for his significant contributions to understanding the Sun and space weather.
  • C. Russell Howard
    Russell Howard is a British stand-up comedian and television presenter best known for his energetic observational comedy and shows like "Russell Howard's Good News" and "The Russell Howard Hour."
  • D. Peter Kay
    Peter Kay is a British stand-up comedian, actor, and writer known for his observational humor and popular television comedies such as "Phoenix Nights."
  • E. Bill Bailey
    Bill Bailey is a British comedian, musician, and actor known for his surreal stand-up, musical parodies, and appearances on panel shows like "Never Mind the Buzzcocks."
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8a9c5e081908c85b41a268428fb completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496f195108190a7bc9c8089ffc364 completed April 19, 2026, 8:48 a.m.
Created at: April 8, 2026, 9:29 p.m.