Triple
T19464310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kid Boots |
E486952
|
entity |
| Predicate | broadwayGenre |
P85741
|
FINISHED |
| Object | musical comedy |
—
|
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: musical comedy | Statement: [Kid Boots, broadwayGenre, musical comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadwayGenre Context triple: [Kid Boots, broadwayGenre, musical comedy]
-
A.
theatricalGenre
Indicates the specific theatrical genre or style to which a performance, play, or production belongs.
-
B.
musicalTheatreType
chosen
Indicates the specific category or style of musical theatre to which a work, production, or performance belongs.
-
C.
originalBroadwayCountry
Indicates the country in which a production’s original Broadway staging took place.
-
D.
broadwayTradition
Indicates a relationship where something is part of, follows, or exemplifies the customs, conventions, or long-standing practices associated with Broadway theater.
-
E.
musicalTheatreWorkType
Indicates the specific type or category of a musical theatre work that characterizes the nature of the production.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633d0fe3c8190b637f78bfad704d0 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.