Triple

T19982357
Position Surface form Disambiguated ID Type / Status
Subject Law & Order: UK E493846 entity
Predicate character P662 FINISHED
Object DS Matt Devlin 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: DS Matt Devlin | Statement: [Law & Order: UK, character, DS Matt Devlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DS Matt Devlin
Context triple: [Law & Order: UK, character, DS Matt Devlin]
  • A. DS Matt Devlin chosen
    DS Matt Devlin is a fictional detective sergeant in the British television series "Law & Order: UK," known for his driven, sometimes impulsive approach to policing.
  • B. Denny Matthews
    Denny Matthews is a longtime radio play-by-play announcer best known as the iconic voice of the Kansas City Royals.
  • C. Brent Sayers
    Brent Sayers is an American music executive and co-founder of the influential independent hip hop label Rhymesayers Entertainment.
  • D. Grant Matthews
    Grant Matthews is the ambitious, idealistic businessman-turned-presidential-candidate who serves as the central figure in the political drama film "State of the Union."
  • E. DS Ben Jones
    DS Ben Jones is a detective sergeant in the British television crime drama "Midsomer Murders," serving as one of DCI Tom Barnaby’s key investigative partners.
  • 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.