Triple

T19982349
Position Surface form Disambiguated ID Type / Status
Subject Law & Order: UK E493846 entity
Predicate stars P1956 FINISHED
Object Bill Paterson NE NERFINISHED

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: Bill Paterson | Statement: [Law & Order: UK, stars, Bill Paterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Paterson
Context triple: [Law & Order: UK, stars, Bill Paterson]
  • A. Bill Paterson chosen
    Bill Paterson is a Scottish actor known for his extensive work in film, television, and theatre, including roles in productions such as "Comfort and Joy," "Fleabag," and "Outlander."
  • B. Paul Kennerley
    Paul Kennerley is an English singer-songwriter and record producer best known for his country music concept albums and collaborations with Emmylou Harris.
  • C. Garry Disher
    Garry Disher is an acclaimed Australian crime and literary fiction author known for series such as the Wyatt and Peninsula mysteries.
  • D. Ross MacManus
    Ross MacManus was a British musician and trumpeter best known for his work with the Joe Loss Orchestra and for being the father of singer-songwriter Elvis Costello.
  • E. Paul Cavanagh
    Paul Cavanagh was a British-born film and television actor known for his suave, often aristocratic roles in Hollywood productions from the 1930s through the 1950s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d13a8a88190bf5f4f697793f4c9 completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:28 p.m.