Triple
T21744008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah MacKenzie |
E536737
|
entity |
| Predicate | familyName |
P18
|
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: [Sarah MacKenzie, familyName, MacKenzie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacKenzie Context triple: [Sarah MacKenzie, familyName, MacKenzie]
-
A.
MacKenzie
MacKenzie is the first name of MacKenzie Scott, the American novelist and philanthropist known for her large-scale charitable giving.
-
B.
Mackenzie
chosen
Mackenzie is a feminine given name of Scottish origin that has become popular in English-speaking countries.
-
C.
McLennan
McLennan is a Scottish surname borne by various notable individuals across politics, academia, and the arts.
-
D.
Crowfoot
Crowfoot is the maiden surname of Nobel Prize–winning chemist Dorothy Hodgkin, reflecting her family lineage.
-
E.
Thunder Creek
Thunder Creek is a stream in Saskatchewan, Canada, that feeds into the Moose Jaw River as part of the region’s prairie river system.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a74592c8190959af631d72df479 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:49 p.m.