Triple

T16923351
Position Surface form Disambiguated ID Type / Status
Subject Mackenzie Aladjem E410501 entity
Predicate givenName P17 FINISHED
Object Mackenzie E795670 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 Aladjem, givenName, Mackenzie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mackenzie
Context triple: [Mackenzie Aladjem, givenName, Mackenzie]
  • A. Mackenzie chosen
    Mackenzie is a feminine given name of Scottish origin that has become popular in English-speaking countries.
  • B. MacKenzie
    MacKenzie is the first name of MacKenzie Scott, the American novelist and philanthropist known for her large-scale charitable giving.
  • C. Keewatin
    Keewatin is a historical region in northern Canada whose name, derived from an Indigenous term, has been used for various districts and communities in the country’s subarctic area.
  • D. Tagish
    Tagish is an endangered Athabaskan Indigenous language traditionally spoken by the Tagish people of southern Yukon in northwestern Canada.
  • E. 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.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdf06e8c81908028efef2faa6c6b completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd5e17481909fc4303fcc1342bf completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.