Triple

T9373282
Position Surface form Disambiguated ID Type / Status
Subject Take It Away E225583 entity
Predicate musicVideoDirector P4911 FINISHED
Object John Mackenzie E683187 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: John Mackenzie | Statement: [Take It Away, musicVideoDirector, John Mackenzie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Mackenzie
Context triple: [Take It Away, musicVideoDirector, John Mackenzie]
  • A. John Mackenzie chosen
    John Mackenzie was a Scottish film and television director best known for his gritty British crime drama "The Long Good Friday" (1980).
  • B. John Macpherson
    John Macpherson was a British colonial administrator who briefly served as acting Governor-General of Bengal in the late 18th century.
  • C. Alexander McDougall
    Alexander McDougall was a Scottish-born American merchant, political leader, and Revolutionary War officer who became a prominent patriot voice in New York before and during the American Revolution.
  • D. Mack MacKenzie
    Mack MacKenzie is a central fictional attorney and family man on the long-running American prime-time soap opera "Knots Landing."
  • E. Ian Dalrymple
    Ian Dalrymple was a British screenwriter and film producer noted for his acclaimed work in early 20th-century cinema, including an Academy Award-winning screenplay.
  • 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_69ca842d8ee88190aaaa639aa953185d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50a78dc4819089f20f785060b343 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ccc3584819090a66cd50375c5af completed April 4, 2026, 3:22 p.m.
Created at: March 30, 2026, 7:43 p.m.