Triple
T33419644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O by Cirque du Soleil |
E855811
|
entity |
| Predicate | theaterOwner |
P100293
|
FINISHED |
| Object | Bellagio |
—
|
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: Bellagio | Statement: [O by Cirque du Soleil, theaterOwner, Bellagio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theaterOwner Context triple: [O by Cirque du Soleil, theaterOwner, Bellagio]
-
A.
ownsTheatre
chosen
Indicates that one entity has legal ownership or controlling possession of a theatre.
-
B.
theaterConsultant
Indicates that one entity serves as a consultant to another in matters related to theater, such as design, production, or operations.
-
C.
theatreCity
Indicates that a theatre is located in, or primarily associated with, a particular city.
-
D.
theaterType
Indicates the specific kind or category of theater associated with an entity (e.g., cinema, opera house, drama theater).
-
E.
theaterSector
Indicates that an entity operates in, is associated with, or belongs to the theater-related sector or industry.
- 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e47f37848190aadb137c81760f1f |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.