Triple
T22223595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lady and Her Music |
E549275
|
entity |
| Predicate | runLengthOnBroadway |
P4734
|
FINISHED |
| Object | more than 300 performances |
—
|
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: more than 300 performances | Statement: [The Lady and Her Music, runLengthOnBroadway, more than 300 performances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runLengthOnBroadway Context triple: [The Lady and Her Music, runLengthOnBroadway, more than 300 performances]
-
A.
originalBroadwayRunLength
chosen
Indicates the duration of time that a production’s initial run on Broadway lasted.
-
B.
broadwayRunDescriptor
Indicates that an entity’s involvement in a Broadway production is characterized by specific run details, such as dates, duration, or performance span.
-
C.
numberOfBroadwayPerformances
Indicates the total count of times a production or performance has been staged on Broadway.
-
D.
broadwayRunType
Indicates the nature or category of a production’s run on Broadway (for example, original run, revival, limited engagement, or tour transfer).
-
E.
originalBroadwayRunType
Indicates the type or category of a production’s initial run on Broadway (e.g., original, revival, limited engagement).
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b92b79c8190a8a4d33591abd763 |
completed | April 28, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.