Triple
T12093832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Cambridge |
E288015
|
entity |
| Predicate | mostRecentCreationReason |
P5256
|
FINISHED |
| Object | marriage of Prince William and Catherine Middleton |
—
|
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: marriage of Prince William and Catherine Middleton | Statement: [Duke of Cambridge, mostRecentCreationReason, marriage of Prince William and Catherine Middleton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostRecentCreationReason Context triple: [Duke of Cambridge, mostRecentCreationReason, marriage of Prince William and Catherine Middleton]
-
A.
reasonForCreation
chosen
Indicates that one entity was created for the purpose, cause, or motivation specified by another entity.
-
B.
lastCreationDate
Indicates the most recent date and time at which the entity was created or newly instantiated.
-
C.
originalReason
Indicates the initial cause, motivation, or justification behind an action, decision, or state of affairs.
-
D.
createdFor
Indicates that one entity was made, produced, or designed specifically to serve, benefit, or be used by another entity.
-
E.
createdAtRequestOf
Indicates that something was created specifically in response to, or because of, a particular request.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.