Triple
T3986640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Berkeley, 1st Baron Berkeley of Stratton |
E86886
|
entity |
| Predicate | roleInNewJersey |
P53667
|
FINISHED |
| Object | proprietary governor in absentia |
—
|
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: proprietary governor in absentia | Statement: [John Berkeley, 1st Baron Berkeley of Stratton, roleInNewJersey, proprietary governor in absentia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInNewJersey Context triple: [John Berkeley, 1st Baron Berkeley of Stratton, roleInNewJersey, proprietary governor in absentia]
-
A.
urbanRole
Indicates the function, status, or role that an entity holds within an urban or city context.
-
B.
ethnicRole
Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
-
C.
roleInCanada
Indicates that one entity holds or performs a specific role, position, or function within the context of Canada.
-
D.
roleInIsrael
Indicates that an entity holds or held a specific role, position, or function within the context of Israel.
-
E.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb81040481909b22e4c445ecae0f |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef8f692008190bf4d637ffc3d3eaa |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefb7f92348190ae35f1d75b0b5d4f |
completed | March 9, 2026, 4:55 p.m. |
Created at: March 9, 2026, 3:33 p.m.