Triple
T30104118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Want to Be Happy |
E765084
|
entity |
| Predicate | musicalTheatreDebut |
P61784
|
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, musicalTheatreDebut, No, No, Nanette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalTheatreDebut Context triple: [I Want to Be Happy, musicalTheatreDebut, No, No, Nanette]
-
A.
broadwayMusicalDebut
Indicates the event or role through which a person first appeared in a Broadway musical production.
-
B.
composerDebutOnBroadway
Indicates that a composer made their first professional appearance or premiere on Broadway.
-
C.
musicalTheatreWork
chosen
Indicates that one entity is a musical theatre work (such as a musical or operetta) associated with or characterized by the other entity.
-
D.
madeOperaticDebut
Indicates that an entity performed in its first-ever opera production or role.
-
E.
musicalTheatreType
Indicates the specific category or style of musical theatre to which a work, production, or performance belongs.
- 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_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 29, 2026, 7:09 p.m.