Triple
T6870572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mackenzie Mauzy |
E158532
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mackenzie Mauzy |
E158532
|
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 Mauzy | Statement: [Mackenzie Mauzy, name, Mackenzie Mauzy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mackenzie Mauzy Context triple: [Mackenzie Mauzy, name, Mackenzie Mauzy]
-
A.
Mackenzie Mauzy
chosen
Mackenzie Mauzy is an American actress and singer known for her work on Broadway and in film and television, including her role as Rapunzel in the 2014 musical fantasy film "Into the Woods."
-
B.
Makenna James
Makenna James is an American actress best known for her role on the television series "American Woman."
-
C.
MacKenzie McHale
MacKenzie McHale is a principled, sharp-witted executive producer and former war correspondent in the television drama series "The Newsroom."
-
D.
Camryn Manheim
Camryn Manheim is an American actress best known for her Emmy-winning role as attorney Ellenor Frutt on the legal drama series "The Practice."
-
E.
MacKenzie Porter
MacKenzie Porter is a Canadian actress and country music singer known for her roles in television series and her successful recording career.
- 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_69c748c0689081908d37d1530ed0f6a0 |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:22 p.m.