Triple

T3702301
Position Surface form Disambiguated ID Type / Status
Subject Mackenzie Foy E80807 entity
Predicate givenName P17 FINISHED
Object Mackenzie E91227 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: Mackenzie | Statement: [Mackenzie Foy, givenName, Mackenzie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mackenzie
Context triple: [Mackenzie Foy, givenName, Mackenzie]
  • A. MacKenzie chosen
    MacKenzie is the first name of MacKenzie Scott, the American novelist and philanthropist known for her large-scale charitable giving.
  • B. Tagish
    Tagish is an endangered Athabaskan Indigenous language traditionally spoken by the Tagish people of southern Yukon in northwestern Canada.
  • C. Mackenzie Valley
    Mackenzie Valley is a vast, sparsely populated region in northwestern Canada shaped by the course of the Mackenzie River and known for its subarctic landscapes and Indigenous communities.
  • D. Mackenzie Waters
    Mackenzie Waters was a Canadian architect best known for designing Toronto’s historic Maple Leaf Gardens, one of hockey’s most iconic arenas.
  • E. Gastineau
    Gastineau is a surname most notably associated with former American football defensive end Mark Gastineau.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc54925b48190b23d2a14ef825abc completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdf53190819098529d11a5a3c7a8 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:33 p.m.