Triple
T32910646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leningrad State Academic Maly Opera Theatre |
E841865
|
entity |
| Predicate | revertedNameTo |
P16337
|
FINISHED |
| Object | Mikhailovsky Theatre |
—
|
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: Mikhailovsky Theatre | Statement: [Leningrad State Academic Maly Opera Theatre, revertedNameTo, Mikhailovsky Theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revertedNameTo Context triple: [Leningrad State Academic Maly Opera Theatre, revertedNameTo, Mikhailovsky Theatre]
-
A.
wasRenamedBackTo
Indicates that an entity, after having its name changed, was later restored to its previous or original name.
-
B.
nameRestored
chosen
Indicates that an entity’s original or correct name has been reinstated after having been changed, lost, or altered.
-
C.
revertedLeagueName
Indicates that an entity’s league name has been changed back to a previous or original league name after a prior modification.
-
D.
reestablishedUnderCurrentName
Indicates that an entity previously existed under a different name and was later reestablished using its current name.
-
E.
renamedDueTo
Indicates that one entity was renamed as a consequence of another specified cause, event, or condition.
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:19 a.m.