Triple
T33596868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Productions |
E860591
|
entity |
| Predicate | lineOfDutyGenre |
P83375
|
FINISHED |
| Object | police procedural |
—
|
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: police procedural | Statement: [World Productions, lineOfDutyGenre, police procedural]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineOfDutyGenre Context triple: [World Productions, lineOfDutyGenre, police procedural]
-
A.
tvGenre
chosen
Indicates the genre or category to which a television show or program belongs.
-
B.
visualGenre
Indicates the visual or stylistic category to which something belongs, such as its artistic or cinematic genre.
-
C.
dramaType
Indicates the specific category or genre of drama that characterizes an entity or work.
-
D.
filmType
Indicates the specific category or genre that a film belongs to.
-
E.
depictsGenre
Indicates that one entity visually represents or portrays the genre category associated with 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f7a10c8c8190b39405b917ee6e91 |
completed | May 3, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:41 a.m.