Triple
T15888804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barclays Wealth Management |
E385261
|
entity |
| Predicate | hasClientRelationshipModel |
P734
|
FINISHED |
| Object | relationship manager led |
—
|
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: relationship manager led | Statement: [Barclays Wealth Management, hasClientRelationshipModel, relationship manager led]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClientRelationshipModel Context triple: [Barclays Wealth Management, hasClientRelationshipModel, relationship manager led]
-
A.
hasRelationships
Indicates that an entity is connected to one or more other entities through specified types of relationships.
-
B.
hasClient
chosen
Indicates that an entity maintains a client relationship with another entity, typically as a provider of goods or services.
-
C.
hasKeyRelationship
Indicates a relationship where one entity serves as a key (e.g., identifier, access token, or primary reference) that grants access to, controls, or uniquely identifies another entity.
-
D.
hasRelation
Indicates that there exists some specified relationship or association between two entities.
-
E.
hasCentralRelationshipType
Indicates that there exists a primary or most significant type of relationship that characterizes how two entities are related to each other.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.