Triple
T29626407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Cage aux Folles (original Broadway production) |
E755153
|
entity |
| Predicate | runLengthPerformances |
P153892
|
FINISHED |
| Object | 1761 |
—
|
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: 1761 | Statement: [La Cage aux Folles (original Broadway production), runLengthPerformances, 1761]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runLengthPerformances Context triple: [La Cage aux Folles (original Broadway production), runLengthPerformances, 1761]
-
A.
totalPerformances
Indicates the total number of times a particular performance, show, or act has been carried out.
-
B.
runsPer
Indicates a relationship where one entity performs running actions at a specified rate or frequency relative to another measure (such as time, distance, or event).
-
C.
performanceCount
chosen
Indicates the number of times a particular performance, event, or action has occurred or been carried out.
-
D.
numberOfDailyPerformances
Indicates the total count of performances that occur each day for the given subject.
-
E.
frequentPerformance
Indicates that an entity regularly or repeatedly carries out a particular performance or activity over a period of time.
- 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_69f0ef86b6ec8190a87fff07fd983b1e |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66e60b3888190b3ac64f01ca699f5 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:38 p.m.