Triple
T5986800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theatre Intern Network |
E133247
|
entity |
| Predicate | parentOrganizationSector |
P48517
|
FINISHED |
| Object | arts and culture |
—
|
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: arts and culture | Statement: [Theatre Intern Network, parentOrganizationSector, arts and culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentOrganizationSector Context triple: [Theatre Intern Network, parentOrganizationSector, arts and culture]
-
A.
sectorOfParentOrganization
chosen
Indicates that the specified sector or industry classification belongs to, or characterizes, the parent organization of the given entity.
-
B.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
C.
parentOrganization
Indicates that one organization is the higher-level or owning entity in an organizational hierarchy relative to another organization.
-
D.
parentOrganizationType
Indicates the classification or category of the organization that serves as the parent in a hierarchical relationship.
-
E.
parentOrganizationField
Indicates that the field specifies or references the organization that serves as the parent or higher-level entity of another organization.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc38a308190a368c5c787a5fc64 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.