Triple
T9119939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dean of the House of Commons (Canada) |
E218818
|
entity |
| Predicate | hasNoFormalSalary |
P87199
|
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), hasNoFormalSalary, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoFormalSalary Context triple: [Dean of the House of Commons (Canada), hasNoFormalSalary, true]
-
A.
hasInformalStatus
Indicates that an entity holds a non-official, casual, or unofficial standing or role in relation to another entity.
-
B.
hasFormalStatus
Indicates that an entity possesses an officially recognized or legally defined status within a formal system or context.
-
C.
isUnemployedAtStartOf
Indicates that an individual is unemployed at the beginning of a specified time period or event.
-
D.
hasNoRoyalTitle
Indicates that an entity does not possess any royal title or rank.
-
E.
hasNoGrades
Indicates that an entity does not possess any recorded grades or evaluations.
- 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.