Triple
T26793439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tango-Ballade |
E670580
|
entity |
| Predicate | musicalTheatreSongOf |
P65524
|
FINISHED |
| Object | The Threepenny Opera |
—
|
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: The Threepenny Opera | Statement: [Tango-Ballade, musicalTheatreSongOf, The Threepenny Opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalTheatreSongOf Context triple: [Tango-Ballade, musicalTheatreSongOf, The Threepenny Opera]
-
A.
musicalTheatreWork
Indicates that one entity is a musical theatre work (such as a musical or operetta) associated with or characterized by the other entity.
-
B.
notableSongInMusical
chosen
Indicates that a particular song is especially prominent, well-known, or significant within a given musical.
-
C.
musicalTheatreType
Indicates the specific category or style of musical theatre to which a work, production, or performance belongs.
-
D.
musicalTheatreWorkType
Indicates the specific type or category of a musical theatre work that characterizes the nature of the production.
-
E.
broadwayMusicalNumber
Indicates that one entity is a specific musical number (song or performance piece) that appears within a Broadway musical production represented by the other entity.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 4:18 a.m.