Triple
T24398055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mama Was a Rock and Roll Singer, Papa Used to Write All Her Songs |
E615081
|
entity |
| Predicate | performerOnTitleTrack |
P9648
|
FINISHED |
| Object | Cher |
E92362
|
NE FINISHED |
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: Cher | Statement: [Mama Was a Rock and Roll Singer, Papa Used to Write All Her Songs, performerOnTitleTrack, Cher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerOnTitleTrack Context triple: [Mama Was a Rock and Roll Singer, Papa Used to Write All Her Songs, performerOnTitleTrack, Cher]
-
A.
musicalArtistOnTrack
chosen
Indicates that a musical artist performed on, contributed to, or is otherwise credited for a specific track.
-
B.
hasSoundtrackPerformer
Indicates that a performer (such as an artist, band, or ensemble) is responsible for performing music on the soundtrack associated with a given work.
-
C.
performerOn
Indicates that an entity serves as the performer or executing agent of an action, event, or work associated with another entity.
-
D.
performerCreditedAs
Indicates that a performer is associated with a work under a specific credited name or alias.
-
E.
isTitleTrack
Indicates that a song or track shares the same title as the album, film, or larger work it belongs to.
- F. None of above.
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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294d85db08190b4c63ea6b7b74438 |
completed | April 29, 2026, 11:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fd685da788190a24a84f858e4c4e0 |
completed | May 22, 2026, 4:07 a.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.