Triple

T2658011
Position Surface form Disambiguated ID Type / Status
Subject Romeo + Juliet E54660 entity
Predicate cinematographyBy P1953 FINISHED
Object Donald McAlpine E210605 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: Donald McAlpine | Statement: [Romeo + Juliet, cinematographyBy, Donald McAlpine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald McAlpine
Context triple: [Romeo + Juliet, cinematographyBy, Donald McAlpine]
  • A. Donald McAlpine chosen
    Donald McAlpine is an acclaimed Australian cinematographer known for his visually distinctive work on numerous prominent films across several decades.
  • B. Bob MacKinnon
    Bob MacKinnon was an American basketball coach known for his work in the ABA and NBA, including leading the Spirits of St. Louis.
  • C. Bruce MacRae
    Bruce MacRae is known primarily as the son of American actor and singer Gordon MacRae.
  • D. Rick MacLeish
    Rick MacLeish was a high-scoring Canadian center best known for his key offensive role on the Philadelphia Flyers’ Stanley Cup–winning teams of the 1970s.
  • E. Stephen MacLean
    Stephen MacLean was an Australian screenwriter and filmmaker best known for his work on music-infused films and television, including the cult musical comedy "Starstruck" (1982).
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd94c61a08190bdf5e1caeff3e788 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf4d70388190b6f0e683c77bc262 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:53 p.m.