Triple
T12860546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Keaton as Nina Banks |
E307573
|
entity |
| Predicate | sequelGenreOfWork |
P107258
|
FINISHED |
| Object | family comedy 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: family comedy film | Statement: [Diane Keaton as Nina Banks, sequelGenreOfWork, family comedy film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequelGenreOfWork Context triple: [Diane Keaton as Nina Banks, sequelGenreOfWork, family comedy film]
-
A.
sequelAppearsIn
Indicates that a sequel (such as a follow-up work or installment) is featured, shown, or occurs within a specified context or medium.
-
B.
sequelWorkType
Indicates that the related work is a sequel and specifies the type or category of that sequel relationship between the works.
-
C.
hasSequelType
Indicates that one work has a sequel of a specified type or category in relation to another work.
-
D.
hasSequel
Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
-
E.
sequelDirected
Indicates that one work is a sequel to another and was directed by the same director or a specific director associated with that sequel relationship.
- F. None of above. chosen
Provenance (4 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:37 p.m.