Triple
T24314418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Mazankowski |
E612764
|
entity |
| Predicate | appointedToCabinetBy |
P257
|
FINISHED |
| Object | Brian Mulroney |
—
|
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: Brian Mulroney | Statement: [Don Mazankowski, appointedToCabinetBy, Brian Mulroney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedToCabinetBy Context triple: [Don Mazankowski, appointedToCabinetBy, Brian Mulroney]
-
A.
appointsPrimeMinister
Indicates that one entity has the authority to select and formally designate another entity to serve in the role of prime minister.
-
B.
servedInCabinetOf
Indicates that one person held a position as a member of the governmental cabinet led by another person.
-
C.
membersAppointedOnAdviceOfPrimeMinister
Indicates that the members are appointed based on, or following, the formal advice or recommendation of the Prime Minister.
-
D.
appointedBy
chosen
Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
-
E.
notableCabinetMember
Indicates that a person has served as a particularly prominent or significant member of a government cabinet.
- F. None of above.
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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292a6377081909bf7fe66a8719d32 |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:46 a.m.