Triple
T1648603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judicial Appointments Commission |
E35639
|
entity |
| Predicate | hasBoardMemberType |
P121
|
FINISHED |
| Object | lay member |
—
|
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: lay member | Statement: [Judicial Appointments Commission, hasBoardMemberType, lay member]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoardMemberType Context triple: [Judicial Appointments Commission, hasBoardMemberType, lay member]
-
A.
hasMemberType
chosen
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
B.
hasCommitteeType
Indicates that an entity is associated with a committee of a specified type or classification.
-
C.
boardMember
Indicates that a person serves on the governing board of an organization, participating in its oversight and decision-making.
-
D.
hasAffiliationType
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
-
E.
committeeMember
Indicates that an entity serves as a member of a particular committee.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.