Triple
T15129755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Mackinlay |
E361386
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Craig Mackinlay |
E361386
|
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: Craig Mackinlay | Statement: [Craig Mackinlay, name, Craig Mackinlay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Mackinlay Context triple: [Craig Mackinlay, name, Craig Mackinlay]
-
A.
Craig Mackinlay
chosen
Craig Mackinlay is a British Conservative Party politician who has served as the Member of Parliament for the South Thanet constituency.
-
B.
Craig Mackle
Craig Mackle is a New Zealand local government leader who serves as the mayor of the Kaikōura District.
-
C.
Rick MacLeish
Rick MacLeish was a high-scoring Canadian center best known for his key offensive role on the Philadelphia Flyers’ Stanley Cup–winning teams of the 1970s.
-
D.
Ian Meakins
Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
-
E.
Andrew McMichael
Andrew McMichael is a person notable enough to be specifically identified as a bearer of the surname McMichael.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005aff2648190bda885c09421758d |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd26190c8190a1f66adc22ae93b8 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:06 a.m.