Triple
T31076577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Happiest Girl in the World |
E791979
|
entity |
| Predicate | hasMusicAdaptationFrom |
P191590
|
FINISHED |
| Object | operettas by Jacques Offenbach |
—
|
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: operettas by Jacques Offenbach | Statement: [The Happiest Girl in the World, hasMusicAdaptationFrom, operettas by Jacques Offenbach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicAdaptationFrom Context triple: [The Happiest Girl in the World, hasMusicAdaptationFrom, operettas by Jacques Offenbach]
-
A.
musicAdaptedBy
Indicates that a piece of music has been modified, arranged, or reworked by a particular person or entity from an existing original.
-
B.
hasAdaptationsIn
Indicates that something possesses or exhibits adaptations within a particular context, environment, or domain.
-
C.
isAdaptationOfFilmMusic
Indicates that one work is an adaptation or reworking derived from the music of a specific film.
-
D.
hasMusicalArrangementCharacteristic
Indicates that a musical arrangement possesses a specific characteristic, feature, or quality.
-
E.
hasAcousticVersionBy
Indicates that one entity is an acoustic version of another, created or performed by a specified agent.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 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. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:02 p.m.