Triple
T33355098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livent |
E854050
|
entity |
| Predicate | operatedTheatre |
P53118
|
FINISHED |
| Object | Pantages Theatre (Toronto) |
—
|
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: Pantages Theatre (Toronto) | Statement: [Livent, operatedTheatre, Pantages Theatre (Toronto)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedTheatre Context triple: [Livent, operatedTheatre, Pantages Theatre (Toronto)]
-
A.
operatingTheatre
Indicates a relationship where a medical procedure or operation takes place within a designated surgical room or facility.
-
B.
operatesTheatre
chosen
Indicates that an entity manages and runs the activities of a theatre.
-
C.
operatedInTheatre
Indicates that a medical or surgical procedure was performed on a patient within an operating theatre or surgical suite.
-
D.
operatedTheatersIn
Indicates that an entity managed or ran the day-to-day operations of one or more theaters in a specified location or context.
-
E.
operatedTo
Indicates that one entity has performed a surgical or medical operation on another entity.
- 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_69f3496acbc8819099fd0305ecc42080 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00717f539c8190b70dd0e72c6f7d24 |
completed | May 10, 2026, 11:52 a.m. |
| PD | Predicate disambiguation | batch_6a00710278fc81908889afdcf459ff01 |
completed | May 10, 2026, 11:50 a.m. |
Created at: May 1, 2026, 1:34 a.m.