Triple

T14167874
Position Surface form Disambiguated ID Type / Status
Subject The Trial of Christine Keeler E351126 entity
Predicate productionCompany P490 FINISHED
Object Ecosse Films E510541 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: Ecosse Films | Statement: [The Trial of Christine Keeler, productionCompany, Ecosse Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ecosse Films
Context triple: [The Trial of Christine Keeler, productionCompany, Ecosse Films]
  • A. Ecosse Films chosen
    Ecosse Films is a British film and television production company known for producing period dramas and independent feature films.
  • B. Tartan Films
    Tartan Films was a UK-based independent film distribution company known for releasing cult, arthouse, and international cinema, particularly Asian extreme films.
  • C. Highland Films
    Highland Films is a film production company best known for producing the acclaimed historical drama "A Man for All Seasons."
  • D. Fountainbridge Films
    Fountainbridge Films is a film production company co-founded by actor Sean Connery, known for producing movies such as the thriller "Entrapment."
  • E. Celandine Films
    Celandine Films is a film production company best known for producing the British comedy film "Monty Python’s The Meaning of Life."
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f779248190921c85f99f587296 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1 a.m.