Triple
T30908675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Charreada |
E787374
|
entity |
| Predicate | hasNotableAlbumProducer |
P17041
|
FINISHED |
| Object | Peter Asher |
—
|
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: Peter Asher | Statement: [La Charreada, hasNotableAlbumProducer, Peter Asher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableAlbumProducer Context triple: [La Charreada, hasNotableAlbumProducer, Peter Asher]
-
A.
hasNotableAlbum
Indicates that an entity (typically a musical artist or group) is associated with one or more albums that are considered notable or significant.
-
B.
notableProducer
chosen
Indicates that an entity is a significant or well-known producer associated with another entity, such as a work, product, or project.
-
C.
hasNotableComposer
Indicates that an entity is associated with a composer who is recognized as particularly significant or distinguished.
-
D.
hasNotableAlbumLabel
Indicates that an entity (such as a musical artist or album) is associated with a particularly prominent or distinguished record label.
-
E.
hasNotableMusicWork
Indicates that an entity is associated with a significant or well-known musical work, such as a composition, recording, or performance.
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a006fe981488190b4287289a3327664 |
completed | May 10, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_6a006f6976ec8190ba2c04fbaa946345 |
completed | May 10, 2026, 11:43 a.m. |
Created at: April 29, 2026, 8:50 p.m.