Triple
T4961099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunday Express |
E111407
|
entity |
| Predicate | politicalCoverageStyle |
P8702
|
FINISHED |
| Object | right-leaning commentary |
—
|
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: right-leaning commentary | Statement: [Sunday Express, politicalCoverageStyle, right-leaning commentary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalCoverageStyle Context triple: [Sunday Express, politicalCoverageStyle, right-leaning commentary]
-
A.
politicalSpectrumCoverage
Indicates the range and diversity of political viewpoints or positions that are represented or addressed within a given context.
-
B.
politicalPattern
Indicates a recurring or characteristic way in which political behaviors, decisions, or power dynamics are organized or expressed.
-
C.
mediaCoverageControversy
Indicates that media coverage is associated with, contributes to, or centers around a controversy involving the related entities.
-
D.
editorialStance
chosen
Indicates the position, viewpoint, or bias an editor or publication adopts toward a subject, issue, or entity.
-
E.
politicalTheme
Indicates that something is related to, characterized by, or primarily concerned with politics, governance, or political issues.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.