Triple
T11319904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Editors’ Lab |
E268064
|
entity |
| Predicate | organizationTypeOfProvider |
P3580
|
FINISHED |
| Object | film training institution |
—
|
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: film training institution | Statement: [Editors’ Lab, organizationTypeOfProvider, film training institution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationTypeOfProvider Context triple: [Editors’ Lab, organizationTypeOfProvider, film training institution]
-
A.
organizationType
chosen
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
B.
organizationTypeOfOwner
Indicates the type or category of organization that owns a given entity.
-
C.
responsibleOrganizationType
Indicates the type or category of organization that holds responsibility for a given action, resource, or obligation.
-
D.
organizationTypeOfHolder
Indicates that a specified organization serves as the type or category of the holder in the given relationship.
-
E.
organizationTypeServed
Indicates the type of organization that is served or supported by a given entity or activity.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9de875481908acfa56015d4b46f |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.