Triple
T2703995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PBS NewsHour |
E59298
|
entity |
| Predicate | editorialStyle |
P20443
|
FINISHED |
| Object | long-form reporting |
—
|
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: long-form reporting | Statement: [PBS NewsHour, editorialStyle, long-form reporting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorialStyle Context triple: [PBS NewsHour, editorialStyle, long-form reporting]
-
A.
editorialStandard
Indicates that one entity defines, follows, or enforces a particular set of editorial rules, guidelines, or quality criteria in relation to another entity or content.
-
B.
editingStyle
chosen
Indicates the characteristic manner or approach used when revising, arranging, or refining content.
-
C.
editorialTheme
Indicates a relationship where an editorial work is associated with a specific overarching theme or subject focus that guides its content and presentation.
-
D.
editorialRole
Indicates that one entity holds an editorial position or responsibility in relation to another entity, such as a publication, work, or organization.
-
E.
authorStyle
Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda518c58819096c8b67c0f754655 |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.