Triple

T15395448
Position Surface form Disambiguated ID Type / Status
Subject Anthony Asquith E368164 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: [Anthony Asquith, employer, Gainsborough Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gainsborough Pictures
Context triple: [Anthony Asquith, 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ac79081908ac79c0b3e7587ff completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13523f548190beafd130f8741465 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.