Triple

T16331367
Position Surface form Disambiguated ID Type / Status
Subject Crashing Towers E396559 entity
Predicate featuresActor P15562 FINISHED
Object George McKay E411821 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: George McKay | Statement: [Crashing Towers, featuresActor, George McKay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George McKay
Context triple: [Crashing Towers, featuresActor, George McKay]
  • A. George McKay chosen
    George McKay is an actor known for his role in the film "The Secret Code."
  • B. James Sutherland
    James Sutherland is a Canadian artist best known for his public art installations, including prominent works integrated into Toronto’s subway system.
  • C. Iven Mackay
    Iven Mackay was an Australian Army lieutenant general best known for leading the 6th Division in key early World War II campaigns in North Africa and Greece.
  • D. John Fraser
    John Fraser was a Scottish actor known for his roles in British cinema and television from the 1950s onward.
  • E. Ian McDougall
    Ian McDougall is an Australian architect best known as a founding director of the influential firm Ashton Raggatt McDougall (ARM), recognized for its bold and unconventional public architecture.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4dfd9688190a749e48ebc055baf completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002613c0e88190b91da8eba683c864 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.