Triple
T873490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daily Express |
E18864
|
entity |
| Predicate | hasContentStyle |
P1609
|
FINISHED |
| Object | sensationalist |
—
|
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: sensationalist | Statement: [Daily Express, hasContentStyle, sensationalist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContentStyle Context triple: [Daily Express, hasContentStyle, sensationalist]
-
A.
hasStyle
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
B.
hasSubstyle
Indicates that one style is a more specific or subordinate variant of another style within a hierarchical style structure.
-
C.
hasHigherStyleThan
Indicates that one entity’s style is considered superior or more fashionable than another’s.
-
D.
hasContentType
Indicates that an entity is associated with or classified by a specific type of content.
-
E.
hasLayout
Indicates that one entity defines or is associated with the structural arrangement or organization (layout) 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac97d0f88190b67fcb7fc058e4b9 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8b9b5c81909ac71904f8b8b5cd |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.