Triple

T11299877
Position Surface form Disambiguated ID Type / Status
Subject If.... E267554 entity
Predicate castMember P1668 FINISHED
Object Malcolm McDowell E241113 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: Malcolm McDowell | Statement: [If...., castMember, Malcolm McDowell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malcolm McDowell
Context triple: [If...., castMember, Malcolm McDowell]
  • A. Malcolm McDowell chosen
    Malcolm McDowell is an English actor renowned for his intense and often villainous roles in films such as "A Clockwork Orange" and "If...."
  • B. Terence Stamp
    Terence Stamp is an English actor known for his distinctive presence and performances in films such as "The Collector," "Superman II," and "The Limey."
  • C. Gary Beach
    Gary Beach was a Tony Award–winning American actor and singer best known for his comedic stage performances, particularly in musical theatre.
  • D. Michael Ironside
    Michael Ironside is a Canadian actor known for his intense, often villainous roles in science fiction and action films such as "Total Recall," "Starship Troopers," and "Top Gun."
  • E. Oliver Reed
    Oliver Reed was a British actor known for his intense screen presence and roles in films such as "Oliver!", "Women in Love," and his final performance in "Gladiator."
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a4aad4819097384e1b591be2e3 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a4af56881908cc395b6687d40a9 completed April 19, 2026, 5 p.m.
Created at: April 8, 2026, 9:32 p.m.