Triple
T31878567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slow Waltz in Cedar Bend |
E813812
|
entity |
| Predicate | hasBackdrops |
P188439
|
FINISHED |
| Object | Midwestern United States |
E405
|
NE 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: Midwestern United States | Statement: [Slow Waltz in Cedar Bend, hasBackdrops, Midwestern United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBackdrops Context triple: [Slow Waltz in Cedar Bend, hasBackdrops, Midwestern United States]
-
A.
hasPosterArtBy
Indicates that the poster artwork for an item (such as a film, event, or product) was created by a specified artist or designer.
-
B.
hasFilmPoster
Indicates that one entity serves as the film poster associated with another film entity.
-
C.
hasPosterArtStyle
Indicates that one entity’s poster is characterized by or created in the artistic style of another entity.
-
D.
backedFilm
Indicates that one entity provided financial or promotional support for the production or distribution of a film.
-
E.
primaryBackdropFor
Indicates that one entity serves as the main visual or contextual background element for another entity.
- F. None of above. chosen
Provenance (5 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_69f348ed74bc81909846aaa6a3c7318c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e8a28aad0819089b6eb4b16225674 |
completed | June 14, 2026, 11:02 a.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba789c1188190973a919bfe2871f3 |
completed | May 6, 2026, 8:41 p.m. |
Created at: April 30, 2026, 11:56 p.m.