Triple
T36736257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Wedding of Prince William and Catherine Middleton |
E907485
|
entity |
| Predicate | maidOfHonour |
P161854
|
FINISHED |
| Object | Pippa Middleton |
—
|
NE NERFINISHED |
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: Pippa Middleton | Statement: [Royal Wedding of Prince William and Catherine Middleton, maidOfHonour, Pippa Middleton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maidOfHonour Context triple: [Royal Wedding of Prince William and Catherine Middleton, maidOfHonour, Pippa Middleton]
-
A.
bride
Indicates that an entity is a woman who is getting married or has just been married in relation to a wedding event or spouse.
-
B.
guestAtWedding
Indicates that a person is attending or has attended a particular wedding as a guest.
-
C.
weddingRole
chosen
Indicates the specific role or function an entity has in the context of a wedding event.
-
D.
weddingPart
Indicates that an entity participates as a component or role within a wedding event.
-
E.
associatedWithWeddingOf
Indicates a relationship where something is connected or related to the wedding event of specific individuals.
- 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.