Triple
T21170517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walt Disney's Carousel of Progress |
E521678
|
entity |
| Predicate | showScenes |
P107448
|
FINISHED |
| Object | Turn-of-the-century scene |
—
|
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: Turn-of-the-century scene | Statement: [Walt Disney's Carousel of Progress, showScenes, Turn-of-the-century scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showScenes Context triple: [Walt Disney's Carousel of Progress, showScenes, Turn-of-the-century scene]
-
A.
scenes
chosen
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
B.
numberOfScenes
Indicates the total count of distinct scenes associated with or contained within an entity.
-
C.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
D.
featuresSceneFrom
Indicates that one entity (such as a work or media item) includes or presents a particular scene taken from another entity.
-
E.
scenesReshotWith
Indicates that certain scenes from a work were filmed again, typically with changes, using the specified other scenes or production instance.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72712893081908e394ccc7e0cbb53 |
completed | April 21, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3 p.m.