Triple
T30104124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Want to Be Happy |
E765084
|
entity |
| Predicate | isFromMusical |
P43970
|
FINISHED |
| Object | No, No, Nanette |
—
|
NE NERFINISHED |
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: No, No, Nanette | Statement: [I Want to Be Happy, isFromMusical, No, No, Nanette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFromMusical Context triple: [I Want to Be Happy, isFromMusical, No, No, Nanette]
-
A.
isMusicalWork
Indicates that one entity is a musical composition or piece created as an artistic work.
-
B.
hasMusical
chosen
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
C.
isFromMusicalFilm
Indicates that something originates from, or is part of, a musical film production.
-
D.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
-
E.
usesMusicalElement
Indicates that one entity employs or incorporates a particular musical element (such as rhythm, melody, harmony, or timbre) in its composition, performance, or structure.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67db919ac81909f3c8e1a99d5afbe |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:09 p.m.