Triple
T3402943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Sudeikis |
E71697
|
entity |
| Predicate | marriageEndWithKayCannon |
P493
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Jason Sudeikis, marriageEndWithKayCannon, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageEndWithKayCannon Context triple: [Jason Sudeikis, marriageEndWithKayCannon, 2010]
-
A.
marriageEndWithElizabethTaylor
Indicates that a marriage concluded with Elizabeth Taylor as one of the spouses.
-
B.
marriageStartWithMilaKunis
Indicates the point in time when a marriage involving Mila Kunis begins.
-
C.
endTime (marriage to Donald Trump)
Indicates the date and time at which the marriage to Donald Trump legally or formally concluded.
-
D.
marriageEndToRoyRogers
Indicates that a marriage relationship concluded or ended with Roy Rogers as one of the spouses.
-
E.
spouseRelationshipEnd
chosen
Indicates that a marital relationship between two individuals has ended, such as through divorce, annulment, or separation.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8e78ec8819089417666dc29f412 |
completed | March 8, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69adadfa73ac8190a163f93e88d217f8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.