Triple
T23734464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frølich family |
E586501
|
entity |
| Predicate | hasNotableMembersIn |
P304
|
FINISHED |
| Object | commerce |
—
|
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: commerce | Statement: [Frølich family, hasNotableMembersIn, commerce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableMembersIn Context triple: [Frølich family, hasNotableMembersIn, commerce]
-
A.
hasNotableMember
chosen
Indicates that a group, organization, or collection includes at least one member who is distinguished or noteworthy in some significant way.
-
B.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
-
C.
hasNotableRoleIn
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
-
D.
hasNotableFormerMemberRole
Indicates that an entity has a role or position that was notably held by a former member of that entity.
-
E.
hasListOfMembers
Indicates that an entity is associated with a collection containing its members or constituents.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bacfb3d0819085a11140ac7aeb12 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:10 p.m.