Triple
T20209351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince William, Duke of Clarence and St Andrews |
E493444
|
entity |
| Predicate | givenTitleDate |
P94738
|
FINISHED |
| Object | created Duke of Clarence and St Andrews in 1789 |
—
|
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: created Duke of Clarence and St Andrews in 1789 | Statement: [Prince William, Duke of Clarence and St Andrews, givenTitleDate, created Duke of Clarence and St Andrews in 1789]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givenTitleDate Context triple: [Prince William, Duke of Clarence and St Andrews, givenTitleDate, created Duke of Clarence and St Andrews in 1789]
-
A.
titleDate
chosen
Indicates the date associated with a title, such as when it was granted, recorded, or became effective.
-
B.
providedTitle
Indicates that one entity has supplied or assigned a specific title or designation to another entity.
-
C.
firstUseAsTitleDate
Indicates the date on which something was first used as a title.
-
D.
hadTitle
Indicates that an entity held or was assigned a specific title or formal designation.
-
E.
hasTitleSince
Indicates that an entity has held a particular title continuously starting from a specified point in 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed4706c81908a5e4a3023a9c22f |
completed | April 20, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:38 p.m.