Triple
T36736276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Wedding of Prince William and Catherine Middleton |
E907485
|
entity |
| Predicate | futureRoleOfGroom |
P161854
|
FINISHED |
| Object | future King of the United Kingdom |
—
|
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: future King of the United Kingdom | Statement: [Royal Wedding of Prince William and Catherine Middleton, futureRoleOfGroom, future King of the United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: futureRoleOfGroom Context triple: [Royal Wedding of Prince William and Catherine Middleton, futureRoleOfGroom, future King of the United Kingdom]
-
A.
proposedGroom
Indicates that one entity has been suggested or put forward as a potential marriage partner (groom) for another entity.
-
B.
futureWife
Indicates that one person is expected or intended to become the wife of another person at a future time.
-
C.
destinedToMarry
Indicates that two entities are fated or predetermined to marry each other in the future.
-
D.
weddingRole
chosen
Indicates the specific role or function an entity has in the context of a wedding event.
-
E.
proposedBride
Indicates that one entity has been put forward or suggested as a potential bride for another entity.
- 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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.