Triple
T23492235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Too Many Girls (Broadway production) |
E570707
|
entity |
| Predicate | runLengthInPerformances |
P76895
|
FINISHED |
| Object | 249 |
—
|
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: 249 | Statement: [Too Many Girls (Broadway production), runLengthInPerformances, 249]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runLengthInPerformances Context triple: [Too Many Girls (Broadway production), runLengthInPerformances, 249]
-
A.
totalPerformances
chosen
Indicates the total number of times a particular performance, show, or act has been carried out.
-
B.
numberOfDailyPerformances
Indicates the total count of performances that occur each day for the given subject.
-
C.
performedInNumber
Indicates that an action or event was carried out a specified number of times.
-
D.
numberOfPlays
Indicates the total count of times an item, such as a track or media asset, has been played.
-
E.
numberOfPerformers
Indicates the quantity of performers involved in a given event, act, or performance.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7dd56408190b459077e433ed1c3 |
completed | April 29, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:05 p.m.