Triple
T32876822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mad Genius (1931 film) |
E840948
|
entity |
| Predicate | hasBalletTheme |
P176379
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Mad Genius (1931 film), hasBalletTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBalletTheme Context triple: [The Mad Genius (1931 film), hasBalletTheme, true]
-
A.
hasBalletMaster
Indicates that an entity is associated with or overseen by a specific ballet master responsible for its ballet-related training, direction, or instruction.
-
B.
hasFunctionInBallet
Indicates that an entity performs a specific role, duty, or purpose within the context of ballet.
-
C.
hasBalletAdaptation
Indicates that one entity has been adapted into a ballet based on it.
-
D.
hasDanceTheme
chosen
Indicates that an entity features, is characterized by, or centers around a particular dance-related theme.
-
E.
balletMusic
Indicates that the music is composed for, associated with, or used in the performance of a ballet.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 1, 2026, 1:18 a.m.