Triple
T35193788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pershing Square Signature Center |
E1016195
|
entity |
| Predicate | homeTheaterCompany |
P182981
|
FINISHED |
| Object | Signature Theatre Company |
—
|
NE NERFINISHED |
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: Signature Theatre Company | Statement: [The Pershing Square Signature Center, homeTheaterCompany, Signature Theatre Company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeTheaterCompany Context triple: [The Pershing Square Signature Center, homeTheaterCompany, Signature Theatre Company]
-
A.
theater
Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
-
B.
theaterSector
Indicates that an entity operates in, is associated with, or belongs to the theater-related sector or industry.
-
C.
isPartOfTheater
Indicates that one entity functions as a component, section, or subdivision within a larger theater (such as a theater building, complex, or organizational unit).
-
D.
theatreCity
Indicates that a theatre is located in, or primarily associated with, a particular city.
-
E.
theaterCommander
Indicates that an entity serves as the commanding authority over military operations within a specific theater or area of operations.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f795b5228c8190adb5bf86e581f70c |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f79527c7bc8190a69d87bec01f65c8 |
completed | May 3, 2026, 6:34 p.m. |
Created at: May 3, 2026, 4:02 p.m.