Triple

T8156883
Position Surface form Disambiguated ID Type / Status
Subject Robert Krasker E190471 entity
Predicate employedBy P7 FINISHED
Object London Films E191031 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: London Films | Statement: [Robert Krasker, employedBy, London Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Films
Context triple: [Robert Krasker, employedBy, London Films]
  • A. London Films chosen
    London Films is a British film production company best known for its classic mid-20th-century films produced under the leadership of Alexander Korda.
  • B. Film London
    Film London is the capital’s screen industries agency, responsible for promoting and developing film, television, and media production in London.
  • C. London Film Productions
    London Film Productions was a British film production company active primarily in the 1930s and 1940s, known for producing a range of notable British feature films.
  • D. London Film Festival
    The London Film Festival is a major annual film festival held in London, showcasing a wide range of international cinema and hosting high-profile premieres.
  • E. Clerkenwell Films
    Clerkenwell Films is a British television and film production company known for creating acclaimed dramas and comedies such as "Misfits" and "Lovesick."
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d8a37481909397b5cc321b94be completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf18c30c8190bdd98c4f0c2d28ea completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.