Triple
T32282350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Bootle-Wilbraham, 1st Earl of Lathom |
E824733
|
entity |
| Predicate | givenTitle |
P13335
|
FINISHED |
| Object | 1st Earl of Lathom |
—
|
NE NERFINISHED |
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: 1st Earl of Lathom | Statement: [Edward Bootle-Wilbraham, 1st Earl of Lathom, givenTitle, 1st Earl of Lathom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givenTitle Context triple: [Edward Bootle-Wilbraham, 1st Earl of Lathom, givenTitle, 1st Earl of Lathom]
-
A.
providedTitle
Indicates that one entity has supplied or assigned a specific title or designation to another entity.
-
B.
receivedTitle
Indicates that an entity has been formally granted or awarded a specific title or honor.
-
C.
traditionalTitleGivenBy
Indicates that one entity has conferred or assigned a traditional or customary title to another entity.
-
D.
hadTitle
chosen
Indicates that an entity held or was assigned a specific title or formal designation.
-
E.
hasGivenNameInTitle
Indicates that the given name of an entity appears within the title of another entity.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bccc5be081908b121f4035b42dd9 |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:43 a.m.