Triple
T19695335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Ferris |
E472942
|
entity |
| Predicate | introducesTheme |
P136955
|
FINISHED |
| Object | sinister carnival imagery |
—
|
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: sinister carnival imagery | Statement: [Black Ferris, introducesTheme, sinister carnival imagery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducesTheme Context triple: [Black Ferris, introducesTheme, sinister carnival imagery]
-
A.
introducesName
Indicates that one entity presents or gives a name or designation to another entity.
-
B.
introducesSystem
Indicates that an entity presents, brings into use, or makes known a particular system to others.
-
C.
entranceTheme
Indicates the music or theme that plays when an entity makes their entrance or initial appearance.
-
D.
introducesKeyword
Indicates that one entity presents or brings a specific keyword into use or into a given context.
-
E.
tacklesTheme
Indicates that one entity addresses, explores, or deals with a particular theme as a central subject.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642147c3c8190a4c788e4bb48fe11 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.