Triple
T13523220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annalee Call |
E322951
|
entity |
| Predicate | appearsInSubgenre |
P21332
|
FINISHED |
| Object | science fiction horror |
—
|
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: science fiction horror | Statement: [Annalee Call, appearsInSubgenre, science fiction horror]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInSubgenre Context triple: [Annalee Call, appearsInSubgenre, science fiction horror]
-
A.
coveredInGenre
Indicates that a work or item is associated with, categorized under, or treated within a particular genre.
-
B.
subgenre
Indicates that one genre is a more specific, subordinate category within a broader parent genre.
-
C.
genreOfAppearance
chosen
Indicates the genre or type of creative work in which an entity appears.
-
D.
secondaryGenre
Indicates that an entity (such as a work or item) has an additional, non-primary genre classification associated with it.
-
E.
visualGenre
Indicates the visual or stylistic category to which something belongs, such as its artistic or cinematic genre.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa535cc81908d0018fef81a2848 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.