Triple

T16248913
Position Surface form Disambiguated ID Type / Status
Subject Bernard Knowles E394445 entity
Predicate employer P7 FINISHED
Object Gainsborough Pictures E102455 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: Gainsborough Pictures | Statement: [Bernard Knowles, employer, Gainsborough Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gainsborough Pictures
Context triple: [Bernard Knowles, employer, Gainsborough Pictures]
  • A. Gainsborough Pictures chosen
    Gainsborough Pictures was a prominent British film production company active in the early to mid-20th century, known for its melodramas and for helping launch the careers of notable directors and actors.
  • B. Savoy Pictures
    Savoy Pictures was an American independent film production and distribution company active in the 1990s.
  • C. Shaftesbury Films
    Shaftesbury Films is a Canadian television and film production company known for creating popular series such as Murdoch Mysteries.
  • D. Palace Films
    Palace Films is an Australian film distribution company known for releasing a wide range of acclaimed international and local arthouse and independent films.
  • E. Palace Pictures
    Palace Pictures was a British independent film production and distribution company known for backing influential and unconventional films in the 1980s and early 1990s.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24594f23c8190bd59fcb2585cb5e3 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee3bbc48190a56ce2807a9510f0 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.