Triple
T18172909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESC Entertainment |
E435075
|
entity |
| Predicate | providedServices |
P59424
|
FINISHED |
| Object | feature films |
—
|
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: feature films | Statement: [ESC Entertainment, providedServices, feature films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providedServices Context triple: [ESC Entertainment, providedServices, feature films]
-
A.
providesServices
chosen
Indicates that one entity supplies or performs services for the benefit or use of another entity.
-
B.
offeredService
Indicates that one entity has provided or made available a service to another entity.
-
C.
publicServices
Indicates that one entity provides or is associated with services offered collectively for the benefit of the general public.
-
D.
servicesType
Indicates the category or kind of services that one entity provides, uses, or is associated with in relation to another entity.
-
E.
serviceIn
Indicates that one entity serves, operates, or performs its function within the context, scope, or domain of 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df56d0a88190af3f407d2a3bb74f |
completed | April 19, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.