Triple
T12436563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacKay |
E297157
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | MacKay |
E297157
|
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: MacKay | Statement: [MacKay, hasSpellingVariant, MacKay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacKay Context triple: [MacKay, hasSpellingVariant, MacKay]
-
A.
MacKay
chosen
MacKay is a Scottish surname historically associated with the Clan Mackay of the Scottish Highlands and borne by numerous notable figures in politics, arts, and sciences.
-
B.
MacEwan
MacEwan is a variant spelling of the Scottish surname McEwan, commonly associated with Scottish heritage and lineage.
-
C.
Mack Mackenzie
Mack Mackenzie is a thoughtful, academically driven student and one of the key supporting characters in the animated television series "Daria."
-
D.
MacRae
MacRae is a Scottish surname associated with various notable individuals in fields such as entertainment, sports, and public life.
-
E.
Mack MacKenzie
Mack MacKenzie is a central fictional attorney and family man on the long-running American prime-time soap opera "Knots Landing."
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8c8fd481909b35ac504127a1b6 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f06d16481909ed2eb5195ebd7e4 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.