Triple
T11800594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Edward Augustus |
E280613
|
entity |
| Predicate | predecessorAsDukeOfKentAndStrathearn |
P101657
|
FINISHED |
| Object | new title |
—
|
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: new title | Statement: [Prince Edward Augustus, predecessorAsDukeOfKentAndStrathearn, new title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorAsDukeOfKentAndStrathearn Context triple: [Prince Edward Augustus, predecessorAsDukeOfKentAndStrathearn, new title]
-
A.
predecessorAsPrinceOfWales
Indicates that one entity previously held the title of Prince of Wales immediately before the other entity.
-
B.
predecessorAsKingOfEngland
Indicates that one entity served as the immediately preceding King of England to the other entity.
-
C.
predecessorAsKingOfScotland
Indicates that one person previously held the position of King of Scotland immediately before another person.
-
D.
predecessorAsDukeOfBrittany
Indicates that one entity previously held the title of Duke of Brittany immediately before another entity.
-
E.
predecessorAsDukeOfNormandy
Indicates that one entity previously held the title of Duke of Normandy immediately before another entity.
- F. None of above. chosen
Provenance (4 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:42 p.m.