Triple
T10954313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smoke Gets in Your Eyes |
E258803
|
entity |
| Predicate | theatricalProductionPremiereYear |
P96811
|
FINISHED |
| Object | 1933 |
—
|
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: 1933 | Statement: [Smoke Gets in Your Eyes, theatricalProductionPremiereYear, 1933]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theatricalProductionPremiereYear Context triple: [Smoke Gets in Your Eyes, theatricalProductionPremiereYear, 1933]
-
A.
offBroadwayPremiereYear
Indicates the year in which a work (such as a play or musical) first premiered in an Off-Broadway production.
-
B.
firstBroadwayProductionYear
Indicates the calendar year in which an entity’s first production was staged on Broadway.
-
C.
firstBroadwayProductionTheatre
Indicates the theatre where an entity’s first Broadway production was staged.
-
D.
operaAdaptationPremiereYear
Indicates the year in which an opera adaptation of a work was first premiered.
-
E.
originalBroadwayOpeningDate
Indicates the calendar date on which a production first opened on Broadway in its original run.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ff718c81909d4baebea3b56b83 |
completed | April 9, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.