Triple

T12874493
Position Surface form Disambiguated ID Type / Status
Subject Ray Kroc E307929 entity
Predicate businessPartner P282 FINISHED
Object Maurice McDonald E687348 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: Maurice McDonald | Statement: [Ray Kroc, businessPartner, Maurice McDonald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maurice McDonald
Context triple: [Ray Kroc, businessPartner, Maurice McDonald]
  • A. Maurice McDonald chosen
    Maurice McDonald was an American entrepreneur who, with his brother Richard, created the original fast-food restaurant concept that evolved into the global McDonald’s chain.
  • B. Maurice Phillips
    Maurice Phillips was a British film and television director known for his work on dramas and thrillers, including the feature film "Another You."
  • C. Frank McHugh
    Frank McHugh was an American character actor best known for his prolific work in 1930s and 1940s Hollywood films, often playing comic sidekicks and supporting roles.
  • D. Johnny Mulhair
    Johnny Mulhair is a music producer best known for his work on country recordings such as LeAnn Rimes’ hit “One Way Ticket (Because I Can).”
  • E. Maurice Evans
    Maurice Evans was a distinguished British actor best known for his Shakespearean stage work and memorable film and television roles, including parts in "Planet of the Apes" and "Bewitched."
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970f97f9c81908c75259a4cab1d3c completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb679f88190a1799b73c3f738b6 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.