Triple
T13129382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln Center Theater |
E311926
|
entity |
| Predicate | cityTheaterStatus |
P108218
|
FINISHED |
| Object | one of the major resident theaters in New York City |
—
|
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: one of the major resident theaters in New York City | Statement: [Lincoln Center Theater, cityTheaterStatus, one of the major resident theaters in New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityTheaterStatus Context triple: [Lincoln Center Theater, cityTheaterStatus, one of the major resident theaters in New York City]
-
A.
cinemaStatus
Indicates the current operational or functional state of a cinema, such as whether it is open, closed, or otherwise restricted.
-
B.
plannedTheater
Indicates that an entity has scheduled or arranged for a theater-related event or activity to take place.
-
C.
theatreOpened
Indicates that a theatre began operating or was officially opened at a particular time or event.
-
D.
laterTheater
Indicates that one event, showing, or activity at a theater occurs after another in time.
-
E.
theatricalRun
Indicates that a film, play, or performance is being publicly shown in theaters over a defined period of time.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819bfd348190a22d44f837877e1c |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:07 p.m.