Triple
T25192257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titipu |
E630902
|
entity |
| Predicate | firstAppearanceVenue |
P149136
|
FINISHED |
| Object | Savoy 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: Savoy Theatre | Statement: [Titipu, firstAppearanceVenue, Savoy Theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceVenue Context triple: [Titipu, firstAppearanceVenue, Savoy Theatre]
-
A.
firstPerformanceLocationOfWorkAppearingIn
Indicates the location where a work was first performed or premiered.
-
B.
firstAppearanceAct
Indicates the act in which an entity makes its first appearance within a work or performance.
-
C.
debutVenue
chosen
Indicates the venue or location where an entity (such as a person, group, or work) made its first public appearance or performance.
-
D.
firstAppearanceScene
Indicates the scene in which an entity is shown or referenced for the first time within a work or sequence.
-
E.
firstAlbumAppearance
Indicates the relationship where an entity makes its debut or earliest known appearance on a particular album.
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 21, 2026, 12:45 p.m.