Triple
T30595878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Please Don’t Stop Loving Me |
E778786
|
entity |
| Predicate | recordingArtistPair |
P100552
|
FINISHED |
| Object | Porter Wagoner and Dolly Parton |
—
|
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: Porter Wagoner and Dolly Parton | Statement: [Please Don’t Stop Loving Me, recordingArtistPair, Porter Wagoner and Dolly Parton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingArtistPair Context triple: [Please Don’t Stop Loving Me, recordingArtistPair, Porter Wagoner and Dolly Parton]
-
A.
partnerOfArtist
Indicates a relationship where one entity is the romantic or life partner of an artist.
-
B.
artistDuoMember
Indicates that one entity is a member of a specific artist duo.
-
C.
musicalCollaborator
Indicates a relationship where two or more entities work together in creating, performing, or producing music.
-
D.
partnerInMusicDuoWith
Indicates that two entities are members of the same musical duo, performing together as a two-person act.
-
E.
recordedWithArtist
chosen
Indicates that one artist participated in a recording together with another artist.
- 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_69f224a1570c8190a85d3ac330479a79 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 29, 2026, 8:24 p.m.