Triple

T15497962
Position Surface form Disambiguated ID Type / Status
Subject Lesley Sharp E378870 entity
Predicate notableWork P4 FINISHED
Object Scott & Bailey E1086065 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: Scott & Bailey | Statement: [Lesley Sharp, notableWork, Scott & Bailey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott & Bailey
Context triple: [Lesley Sharp, notableWork, Scott & Bailey]
  • A. Scott & Bailey chosen
    Scott & Bailey is a British television crime drama series that follows two female detectives balancing complex personal lives with challenging police work in Manchester.
  • B. Brassic
    Brassic is a British comedy-drama television series that follows a group of working-class friends in a small Northern town as they navigate crime, chaos, and everyday life.
  • C. Broadchurch
    Broadchurch is a British crime drama television series centered on the impact and investigation of a young boy’s murder in a small coastal town.
  • D. Brookside
    Brookside was a British television soap opera set in Liverpool, known for its gritty, socially conscious storylines and innovative approach to the genre.
  • E. Brookside
    Brookside is a small town located in Fremont County, Colorado, known for its quiet residential character and proximity to the city of Cañon City.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fb0aee081909db1c54349ec8492 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3665769c8190be1af51a82a5e75f completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:53 a.m.