Triple
T20309642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TV Quick Awards |
E510201
|
entity |
| Predicate | publicationTypeOfOrganizer |
P131067
|
FINISHED |
| Object | television listings magazine |
—
|
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 listings magazine | Statement: [TV Quick Awards, publicationTypeOfOrganizer, television listings magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationTypeOfOrganizer Context triple: [TV Quick Awards, publicationTypeOfOrganizer, television listings magazine]
-
A.
publicationTypeOfPresenter
Indicates the type or category of publication associated with a given presenter.
-
B.
publicationTypeOf
chosen
Indicates that one entity specifies the type or category of publication to which another publication entity belongs.
-
C.
publicationType
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
-
D.
publishingOrganization
Indicates the organization responsible for issuing or making the referenced work publicly available.
-
E.
organizationTypeOfPresenter
Indicates that the predicate specifies the type or category of organization to which the presenter belongs or that the presenter represents.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6774286a88190800d6b062f3d7a9f |
completed | April 20, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:18 a.m.