Triple
T26031942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Scott, 1st Earl of Deloraine |
E647452
|
entity |
| Predicate | createdEarlOfDeloraine |
P171395
|
FINISHED |
| Object | 1706 |
—
|
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: 1706 | Statement: [Henry Scott, 1st Earl of Deloraine, createdEarlOfDeloraine, 1706]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdEarlOfDeloraine Context triple: [Henry Scott, 1st Earl of Deloraine, createdEarlOfDeloraine, 1706]
-
A.
createdEarlOfNorthumberland
Indicates that an entity conferred or established the title of Earl of Northumberland upon another entity.
-
B.
createdEarlOfWestmorlandBy
Indicates that a person or authority conferred or established the title "Earl of Westmorland" upon a specific individual.
-
C.
createdDukeOfLeinster
Indicates that one entity formally granted or established the title "Duke of Leinster" for another entity.
-
D.
createdEarlOfNorthampton
Indicates that a person was granted or elevated to the noble title of Earl of Northampton.
-
E.
createdEarlOfNottinghamDate
Indicates the date on which the title of Earl of Nottingham was created or conferred.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 22, 2026, 9:06 a.m.