Triple
T1225761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Cannon |
E26322
|
entity |
| Predicate | startTimeOfSpouseMariahCareyMarriage |
P14428
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Nick Cannon, startTimeOfSpouseMariahCareyMarriage, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfSpouseMariahCareyMarriage Context triple: [Nick Cannon, startTimeOfSpouseMariahCareyMarriage, 2008]
-
A.
spouseStartTime
chosen
Indicates the point in time when two individuals began their spousal (marriage) relationship.
-
B.
endTime (spouse Kerry Kennedy)
Indicates the time at which the marital relationship with spouse Kerry Kennedy concluded.
-
C.
marriageDate
Indicates the specific date on which two entities entered into a marital relationship.
-
D.
startTimeOfMarriageWithKingHussein
Indicates the date and time when a person’s marriage to King Hussein began.
-
E.
numberOfMarriagesOfSpouse
Indicates the total count of times the referenced spouse has been married.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be39908481908cca21aaf0828415 |
completed | March 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69a4bb644af08190ba25905f20adb01a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.