Triple
T29640753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muskrat Love |
E755853
|
entity |
| Predicate | CaptainAndTennilleAlbum |
P168159
|
FINISHED |
| Object | Song of Joy |
—
|
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: Song of Joy | Statement: [Muskrat Love, CaptainAndTennilleAlbum, Song of Joy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CaptainAndTennilleAlbum Context triple: [Muskrat Love, CaptainAndTennilleAlbum, Song of Joy]
-
A.
hasPartInDiscographyOf
Indicates that one entity constitutes a component or item within the discography (recorded works catalog) of another entity.
-
B.
albumTitle
Indicates the relationship where a musical album is associated with its specific title or name.
-
C.
CelineDionVersionAlbum
Indicates that an album is a version or edition associated with Celine Dion, typically containing her recordings or interpretations.
-
D.
Diva
Indicates that an entity is characterized as a celebrated but temperamental performer, often demanding special treatment or attention in their professional context.
-
E.
albumDiscTitle
Indicates the title assigned to a specific disc within a multi-disc album.
- F. None of above. chosen
Provenance (4 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 6:46 p.m.