Triple
T34875408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UBS Evening News |
E1005867
|
entity |
| Predicate | themeInFiction |
P61759
|
FINISHED |
| Object | sensationalism in television news |
—
|
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: sensationalism in television news | Statement: [UBS Evening News, themeInFiction, sensationalism in television news]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeInFiction Context triple: [UBS Evening News, themeInFiction, sensationalism in television news]
-
A.
fictionalTheme
Indicates that a work, element, or context is centered around or characterized by a fictional theme or motif.
-
B.
literaryThemeInvolvement
chosen
Indicates the involvement or presence of a particular literary theme within a work, passage, or character arc.
-
C.
toneWithinFiction
Indicates the overall emotional or stylistic attitude conveyed inside a fictional work, as expressed through its narrative voice, style, or atmosphere.
-
D.
themeInvolvingCharacter
Indicates that a theme, motif, or abstract concept centrally involves or is significantly shaped by a particular character.
-
E.
languageWithinFiction
Indicates that a language is used or exists within the context of a fictional work or fictional universe.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.