Triple

T14941544
Position Surface form Disambiguated ID Type / Status
Subject Luther McDonald E372541 entity
Predicate familyName P18 FINISHED
Object McDonald E163973 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: McDonald | Statement: [Luther McDonald, familyName, McDonald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McDonald
Context triple: [Luther McDonald, familyName, McDonald]
  • A. McDonald chosen
    McDonald is a common Scottish-origin surname borne by numerous notable individuals across politics, sports, academia, and entertainment.
  • B. Kroc
    Kroc is a surname most famously associated with Ray Kroc, the American businessman who built McDonald's into a global fast-food empire.
  • C. Big Mac
    Big Mac was the popular nickname for Denver’s McNichols Sports Arena, a former multi-purpose indoor venue that hosted the NBA’s Denver Nuggets, NHL’s Colorado Avalanche, and numerous major events.
  • D. Big Mac
    Big Mac is the popular nickname for Michigan’s Mackinac Bridge, a massive suspension bridge connecting the state’s Upper and Lower Peninsulas.
  • E. Big Mac
    The Big Mac is McDonald’s signature double-decker hamburger featuring two beef patties, special sauce, lettuce, cheese, pickles, and onions on a three-part sesame seed bun.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e929f3881908560b8428e72327d completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:38 a.m.