Triple
T24440871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Trudeau |
E616257
|
entity |
| Predicate | startTimeOfRole_spouseOfPM |
P14428
|
FINISHED |
| Object | 2015-11-04 |
—
|
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: 2015-11-04 | Statement: [Sophie Trudeau, startTimeOfRole_spouseOfPM, 2015-11-04]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfRole_spouseOfPM Context triple: [Sophie Trudeau, startTimeOfRole_spouseOfPM, 2015-11-04]
-
A.
spousePositionHeldStartTime
Indicates the date and time when a spouse first began holding a particular position or office.
-
B.
marriedToPrimeMinisterDuring
Indicates that one person was married to the individual serving as prime minister during a specified time period.
-
C.
spouseStartTime
chosen
Indicates the point in time when two individuals began their spousal (marriage) relationship.
-
D.
endTimeFirstTermAsPrimeMinister
Indicates the date and time when an individual’s first term serving as prime minister comes to an end.
-
E.
spouseOfficeEndTime
Indicates the time at which a spouse’s term or tenure in a particular office or position ends.
- 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2978bb5a0819087ef151937923b0a |
completed | April 29, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:17 a.m.