Triple
T25387867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tit-Willow |
E631572
|
entity |
| Predicate | recordedInManyCastAlbums |
P1995
|
FINISHED |
| Object | The Mikado recordings |
—
|
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: The Mikado recordings | Statement: [Tit-Willow, recordedInManyCastAlbums, The Mikado recordings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordedInManyCastAlbums Context triple: [Tit-Willow, recordedInManyCastAlbums, The Mikado recordings]
-
A.
hasCastAlbum
Indicates that a theatrical or film production is associated with a specific recorded cast album.
-
B.
hasNumberOfCompilationAlbums
Indicates the total count of compilation albums associated with a given entity.
-
C.
hasPartInDiscographyOf
Indicates that one entity constitutes a component or item within the discography (recorded works catalog) of another entity.
-
D.
hasPartInDiscography
chosen
Indicates that an entity (such as a song, album, or track) is included as a component within another entity’s discography.
-
E.
hasRecordedAlbum
Indicates that an entity (typically an artist or band) has created and produced a specific music 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 21, 2026, 1:47 p.m.