Triple
T2243868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina Knowles |
E49456
|
entity |
| Predicate | marriageEndWithMathewKnowles |
P493
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Tina Knowles, marriageEndWithMathewKnowles, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageEndWithMathewKnowles Context triple: [Tina Knowles, marriageEndWithMathewKnowles, 2011]
-
A.
endTime (marriage to Donald Trump)
Indicates the date and time at which the marriage to Donald Trump legally or formally concluded.
-
B.
spouseRelationshipEnd
chosen
Indicates that a marital relationship between two individuals has ended, such as through divorce, annulment, or separation.
-
C.
marriageStartWithMilaKunis
Indicates the point in time when a marriage involving Mila Kunis begins.
-
D.
marriedToNotablePerson
Indicates that a person is legally married to another individual who is widely recognized or notable.
-
E.
metSpouseAt
Indicates that one person first encountered or became acquainted with their spouse at a particular place, event, or time.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0c157e88190a5bc876d9591a24b |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69abbdb160248190aa75b38f11ad8602 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.