Triple
T6255168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacKenzie Porter |
E140144
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | MacKenzie Porter |
E140144
|
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 Porter | Statement: [MacKenzie Porter, name, MacKenzie Porter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacKenzie Porter Context triple: [MacKenzie Porter, name, MacKenzie Porter]
-
A.
MacKenzie Porter
chosen
MacKenzie Porter is a Canadian actress and country music singer known for her roles in television series and her successful recording career.
-
B.
Mackenzie Davis
Mackenzie Davis is a Canadian actress known for her roles in films like "Blade Runner 2049" and "The Martian" and the TV series "Halt and Catch Fire."
-
C.
Mackenzie Mauzy
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."
-
D.
Makenna James
Makenna James is an American actress best known for her role on the television series "American Woman."
-
E.
Kailen Sheridan
Kailen Sheridan is a Canadian professional soccer goalkeeper known for her standout performances in the National Women's Soccer League and with the Canada women's national team.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06363d6008190bf05e003b1f74497 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d17de1c8190a1f09c9e00860bcd |
completed | March 27, 2026, 7:09 a.m. |
Created at: March 22, 2026, 4:24 p.m.