Triple
T14366031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose-Marie |
E356235
|
entity |
| Predicate | broadwayRunDescriptor |
P113746
|
FINISHED |
| Object | one of the longest-running Broadway musicals of the 1920s |
—
|
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: one of the longest-running Broadway musicals of the 1920s | Statement: [Rose-Marie, broadwayRunDescriptor, one of the longest-running Broadway musicals of the 1920s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadwayRunDescriptor Context triple: [Rose-Marie, broadwayRunDescriptor, one of the longest-running Broadway musicals of the 1920s]
-
A.
broadwayRunType
Indicates the nature or category of a production’s run on Broadway (for example, original run, revival, limited engagement, or tour transfer).
-
B.
broadwayRunStatus
Indicates the status of a production’s run on Broadway, such as whether it is upcoming, currently running, or has closed.
-
C.
BroadwayRunStart
Indicates the date or point in time when a production’s run on Broadway begins.
-
D.
broadwayRunEnd
Indicates the date or point in time when a production’s run on Broadway concludes.
-
E.
originalBroadwayTheatreRunEnd
Indicates the date on which a production’s initial run at a Broadway theatre concluded.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:15 a.m.