Triple

T22768908
Position Surface form Disambiguated ID Type / Status
Subject Mackenzie Astin E563199 entity
Predicate givenName P17 FINISHED
Object Mackenzie NE NERFINISHED

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 Astin, givenName, Mackenzie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mackenzie
Context triple: [Mackenzie Astin, 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. Smoky Creek
    Smoky Creek is a tributary stream in Northern California that feeds into the South Fork of the Trinity River within the Klamath Mountains region.
  • E. Tagish
    Tagish is an endangered Athabaskan Indigenous language traditionally spoken by the Tagish people of southern Yukon in northwestern Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b59c9cc8190a6edd68f3209a672 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.