Triple
T22347963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Jowitt |
E552443
|
entity |
| Predicate | associatedBranchOfGovernmentOfTitleHolder |
P147869
|
FINISHED |
| Object | judicial |
—
|
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: judicial | Statement: [Earl Jowitt, associatedBranchOfGovernmentOfTitleHolder, judicial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedBranchOfGovernmentOfTitleHolder Context triple: [Earl Jowitt, associatedBranchOfGovernmentOfTitleHolder, judicial]
-
A.
headOfGovernmentBranchRelationship
Indicates a relationship where one entity serves as the leader or chief official of a particular branch of government.
-
B.
headOfGovernmentBranch
Indicates that one entity serves as the chief leader or top executive authority of a particular branch of government.
-
C.
representsBranchOfGovernment
Indicates that one entity functions as a branch within the governmental structure of another entity.
-
D.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
E.
seatOfGovernmentBranch
Indicates the branch or division of government for which a particular location serves as the seat of authority or administration.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157995bec819080b8d05fa88704ed |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:43 p.m.