Triple
T8190566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily Monroe Norton Kane |
E191291
|
entity |
| Predicate | appearsInWorkOfGenre |
P21332
|
FINISHED |
| Object | drama 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: drama film | Statement: [Emily Monroe Norton Kane, appearsInWorkOfGenre, drama film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInWorkOfGenre Context triple: [Emily Monroe Norton Kane, appearsInWorkOfGenre, drama film]
-
A.
seriesGenreOfNotableWork
Indicates that a particular genre characterizes the notable work associated with a series.
-
B.
coveredInGenre
Indicates that a work or item is associated with, categorized under, or treated within a particular genre.
-
C.
genreOfAppearance
chosen
Indicates the genre or type of creative work in which an entity appears.
-
D.
genreOfWorkActedIn
Indicates that an entity is the genre category of a work in which another entity performed or acted.
-
E.
genreOfWorkDirected
Indicates that a person has directed a work (such as a film, show, or performance) belonging to a specified 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da2f4108190b9b69cb7f41ef374 |
completed | March 31, 2026, 4:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36aac86081909b83636e352e0ced |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:41 p.m.