Triple
T25951717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paradise Circus |
E653980
|
entity |
| Predicate | associatedWithTelevisionGenre |
P83375
|
FINISHED |
| Object | crime drama |
—
|
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: crime drama | Statement: [Paradise Circus, associatedWithTelevisionGenre, crime drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTelevisionGenre Context triple: [Paradise Circus, associatedWithTelevisionGenre, crime drama]
-
A.
tvGenre
chosen
Indicates the genre or category to which a television show or program belongs.
-
B.
associatedWithGenreElement
Indicates that something has a connection or linkage to a specific genre-related element (such as a motif, convention, or stylistic feature).
-
C.
associatedShowType
Indicates a relationship where one entity is linked to the type or category of show with which it is associated.
-
D.
hasAssociatedTVSeries
Indicates that one entity is linked to another entity that is a related or derived television series.
-
E.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: April 22, 2026, 8:44 a.m.