Triple

T13668080
Position Surface form Disambiguated ID Type / Status
Subject Sam Tyler E327673 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Ray Carling E861597 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: Ray Carling | Statement: [Sam Tyler, associatedWithCharacter, Ray Carling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Carling
Context triple: [Sam Tyler, associatedWithCharacter, Ray Carling]
  • A. Ray Carling chosen
    Ray Carling is a tough, old-school detective sergeant in the British TV series "Life on Mars," known for his abrasive manner and frequent clashes with the show's protagonist.
  • B. Phil Bowler
    Phil Bowler is an American jazz bassist known for his work with prominent ensembles and contributions to contemporary jazz performance and recording.
  • C. Ian Bannen
    Ian Bannen was a Scottish character actor known for his versatile performances in film, television, and theatre, including acclaimed roles in movies such as "The Flight of the Phoenix" and "Braveheart."
  • D. Martin Harrington
    Martin Harrington is a music producer and songwriter known for his work on hit pop records.
  • E. Pete Stanton
    Pete Stanton is the protagonist of the film "Downhill," around whom the story’s central events and character dynamics revolve.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65832688190aea688fee0a7cbdb completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0cfe0c8190b0fe50931e9788cf completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:52 p.m.