Triple
T2829771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meghan, Duchess of Sussex |
E62206
|
entity |
| Predicate | previousMarriageDate |
P198
|
FINISHED |
| Object | 2011-09-10 |
—
|
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: 2011-09-10 | Statement: [Meghan, Duchess of Sussex, previousMarriageDate, 2011-09-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousMarriageDate Context triple: [Meghan, Duchess of Sussex, previousMarriageDate, 2011-09-10]
-
A.
marriedBefore
Indicates that one entity entered into a marriage at an earlier time than the other entity.
-
B.
marriageDate
chosen
Indicates the specific date on which two entities entered into a marital relationship.
-
C.
marriedAfter
Indicates that one marriage occurred later in time than another specified marriage.
-
D.
marriedIn
Indicates that two entities entered into a marital relationship at a specific place or within a particular jurisdiction.
-
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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebbde4881908dfa78e28c7018e0 |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.