Triple
T20743983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millie Warne |
E510517
|
entity |
| Predicate | depictedInGenre |
P96255
|
FINISHED |
| Object | biographical film |
—
|
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: biographical film | Statement: [Millie Warne, depictedInGenre, biographical film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictedInGenre Context triple: [Millie Warne, depictedInGenre, biographical film]
-
A.
depictsGenre
Indicates that one entity visually represents or portrays the genre category associated with another entity.
-
B.
featuredInFilmGenre
chosen
Indicates that an entity (such as a film, character, or work) appears in or is associated with a specific film genre.
-
C.
coveredInGenre
Indicates that a work or item is associated with, categorized under, or treated within a particular genre.
-
D.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
-
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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c21197088190951a4c4a7e765891 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:33 p.m.