Triple
T22034695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney–ABC International Television |
E544171
|
entity |
| Predicate | distributesContentType |
P145327
|
FINISHED |
| Object | television series |
—
|
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: television series | Statement: [Disney–ABC International Television, distributesContentType, television series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributesContentType Context triple: [Disney–ABC International Television, distributesContentType, television series]
-
A.
distributesContentTo
Indicates that one entity delivers or makes content available to another entity or set of entities.
-
B.
governsContentType
Indicates that one entity defines or controls the rules, behavior, or handling associated with a particular content type.
-
C.
describesContentType
Indicates that one entity specifies or characterizes the type or category of content associated with another entity.
-
D.
distributesAs
Indicates that one entity allocates or hands out something (such as resources, items, or information) to multiple other entities according to some plan or rule.
-
E.
producedContentType
chosen
Indicates that an entity has created or generated content of a specified type or format.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f0594881909caf4fbc3e0a2d50 |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:24 p.m.