Triple
T6870573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mackenzie Mauzy |
E158532
|
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 Mauzy, givenName, Mackenzie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mackenzie Context triple: [Mackenzie Mauzy, 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8aa47f48190bc7cad3cc652f530 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742a841548190abd706ea1efd622f |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:22 p.m.