Triple
T25568312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crossbench group in the House of Lords |
E640899
|
entity |
| Predicate | typicalMemberBackground |
P71697
|
FINISHED |
| Object | former senior judges |
—
|
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: former senior judges | Statement: [Crossbench group in the House of Lords, typicalMemberBackground, former senior judges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMemberBackground Context triple: [Crossbench group in the House of Lords, typicalMemberBackground, former senior judges]
-
A.
hasMemberBackground
chosen
Indicates that an entity has information describing the background or history of one of its members.
-
B.
typicalMembers
Indicates that the related entities are representative or characteristic members of a larger group, category, or class.
-
C.
typicalBackground
Indicates that an entity has a usual or commonly expected background, context, or setting associated with it.
-
D.
typicalStudentBackground
Indicates that an entity has the usual or commonly expected background or profile for a student in a given context.
-
E.
socialBackground
Indicates a relationship where one entity’s social origin, class, or upbringing context is associated with or characterizes 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: April 21, 2026, 3:50 p.m.