Triple
T14353989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flight Deck |
E355923
|
entity |
| Predicate | themeChange |
P113903
|
FINISHED |
| Object | lost Paramount Top Gun branding after Cedar Fair acquisition |
—
|
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: lost Paramount Top Gun branding after Cedar Fair acquisition | Statement: [Flight Deck, themeChange, lost Paramount Top Gun branding after Cedar Fair acquisition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeChange Context triple: [Flight Deck, themeChange, lost Paramount Top Gun branding after Cedar Fair acquisition]
-
A.
themeContrast
Indicates a relationship where two themes are compared or opposed to highlight their differences or tension.
-
B.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
C.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
D.
themeInArc
Indicates that something serves as a central theme or recurring subject within a particular narrative arc.
-
E.
themeKey
Indicates that one entity serves as the primary subject, topic, or thematic focus associated with another entity.
- F. None of above. chosen
Provenance (4 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4ff1e48190bd9419d70098cede |
completed | April 14, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69de2a9958e881909d03ac03f135163e |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e8a40e4819080240c874da1842c |
completed | April 14, 2026, 12:09 p.m. |
Created at: April 10, 2026, 1:14 a.m.