Triple
T24987796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Tale of Two Cities (Broadway musical) |
E625360
|
entity |
| Predicate | broadwayRunLengthInPreviews |
P59468
|
FINISHED |
| Object | 33 |
—
|
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: 33 | Statement: [A Tale of Two Cities (Broadway musical), broadwayRunLengthInPreviews, 33]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadwayRunLengthInPreviews Context triple: [A Tale of Two Cities (Broadway musical), broadwayRunLengthInPreviews, 33]
-
A.
originalBroadwayRunLengthPreviews
Indicates the number of preview performances in a production’s original Broadway run before its official opening.
-
B.
broadwayPreviewsBegin
Indicates the date on which a Broadway production begins its preview performances before the official opening.
-
C.
originalBroadwayRunLength
Indicates the duration of time that a production’s initial run on Broadway lasted.
-
D.
totalBroadwayPreviews
chosen
Indicates the total number of preview performances a Broadway production has had before its official opening.
-
E.
preBroadwayEngagement
Indicates a theatrical production run that occurs before a show’s official Broadway opening, typically used to refine and test 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:03 a.m.