Triple
T33596869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Productions |
E860591
|
entity |
| Predicate | bodyguardGenre |
P83375
|
FINISHED |
| Object | political thriller |
—
|
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: political thriller | Statement: [World Productions, bodyguardGenre, political thriller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyguardGenre Context triple: [World Productions, bodyguardGenre, political thriller]
-
A.
visualGenre
Indicates the visual or stylistic category to which something belongs, such as its artistic or cinematic genre.
-
B.
bearerGenre
Indicates that an entity (the bearer) is associated with or characterized by a particular genre.
-
C.
tvGenre
chosen
Indicates the genre or category to which a television show or program belongs.
-
D.
genre
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
-
E.
género principal
Indicates the primary genre category to which an entity (such as a work, product, or item) mainly belongs.
- 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.