Triple
T23103392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Blaney |
E576093
|
entity |
| Predicate | servedInCabinetOf |
P15469
|
FINISHED |
| Object | Stephen Harper |
—
|
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: Stephen Harper | Statement: [Steven Blaney, servedInCabinetOf, Stephen Harper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Harper Context triple: [Steven Blaney, servedInCabinetOf, Stephen Harper]
-
A.
Stephen Harper
chosen
Stephen Harper is a Canadian politician who served as the 22nd prime minister of Canada from 2006 to 2015 and leader of the Conservative Party.
-
B.
Steven Harper
Steven Harper is the tough but principled high school principal at the center of the television drama "Boston Public."
-
C.
Paul Martin
Paul Martin is a Canadian politician who served as the 21st prime minister of Canada and was previously a long-time Liberal finance minister known for deficit reduction.
-
D.
Paul Martin
Paul Martin is a film producer known for his work on the 2019 documentary "Diego Maradona."
-
E.
Andrew Scheer
Andrew Scheer is a Canadian politician who served as leader of the Conservative Party of Canada and Leader of the Official Opposition from 2017 to 2020.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18deaacbc8190a97e64e1cf39cdd6 |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.