Triple
T9119940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dean of the House of Commons (Canada) |
E218818
|
entity |
| Predicate | hasNoAdditionalRemuneration |
P87200
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Dean of the House of Commons (Canada), hasNoAdditionalRemuneration, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoAdditionalRemuneration Context triple: [Dean of the House of Commons (Canada), hasNoAdditionalRemuneration, true]
-
A.
memberRemuneration
Indicates that a member receives payment or compensation, typically for their role, services, or participation within an organization or group.
-
B.
hasNoMonetaryPrize
Indicates that the associated event, activity, or recognition does not provide any financial or cash reward.
-
C.
compensationRate
Indicates the rate or amount of payment provided in exchange for a specified unit of work, time, or service.
-
D.
compensationModel
Indicates the type or structure of payment or rewards provided in exchange for work, services, or performance.
-
E.
notAwardedFor
Indicates that a particular award, prize, or honor was explicitly not given in recognition of a specified work, achievement, or entity.
- F. None of above. chosen
Provenance (4 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a902e08190a7eb4728f32b9e1d |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:17 p.m.