Triple
T10942591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Pratt, 1st Earl Camden |
E258509
|
entity |
| Predicate | createdEarlInYear |
P96764
|
FINISHED |
| Object | 1786 |
—
|
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: 1786 | Statement: [Charles Pratt, 1st Earl Camden, createdEarlInYear, 1786]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdEarlInYear Context triple: [Charles Pratt, 1st Earl Camden, createdEarlInYear, 1786]
-
A.
createdEarlBy
Indicates that an entity was granted or established as an earl by a specific creator or authority.
-
B.
estimatedYearOfCreation
Indicates the year in which something is believed or approximated to have been created, rather than a precisely known creation year.
-
C.
createdEarlOfNottinghamDate
Indicates the date on which the title of Earl of Nottingham was created or conferred.
-
D.
earlTitleCreatedFor
Indicates that an earl title was specifically established or granted for a particular person or entity.
-
E.
yearCirca
Indicates that the associated year is approximate or uncertain rather than exact.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c33a7c8190b3347944f68ee431 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.