Triple

T14745950
Position Surface form Disambiguated ID Type / Status
Subject Suzanne Mackie E346467 entity
Predicate employer P7 FINISHED
Object Left Bank Pictures E114993 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: Left Bank Pictures | Statement: [Suzanne Mackie, employer, Left Bank Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Left Bank Pictures
Context triple: [Suzanne Mackie, employer, Left Bank Pictures]
  • A. Left Bank Pictures chosen
    Left Bank Pictures is a British television and film production company known for creating high-profile, critically acclaimed dramas including the royal series "The Crown."
  • B. Greenpoint Films
    Greenpoint Films is a film production company best known for producing the acclaimed period drama "Enchanted April."
  • C. Parklane Pictures
    Parklane Pictures was a mid-20th-century American film production company best known for producing the classic 1955 film noir "Kiss Me Deadly."
  • D. White Horse Pictures
    White Horse Pictures is a film and television production company known for producing high-profile documentaries and narrative features, particularly in the music and entertainment space.
  • E. Katalyst Films
    Katalyst Films is a production company co-founded by Ashton Kutcher, best known for creating and producing popular prank and reality television shows and digital media content.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9638648190a2a3eb255ec5ae28 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.