Triple
T30101432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bandwagon |
E765005
|
entity |
| Predicate | creativeRelationship |
P129977
|
FINISHED |
| Object | close connection to fellow artists like Same Mother |
—
|
LITERAL 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: close connection to fellow artists like Same Mother | Statement: [The Bandwagon, creativeRelationship, close connection to fellow artists like Same Mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creativeRelationship Context triple: [The Bandwagon, creativeRelationship, close connection to fellow artists like Same Mother]
-
A.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
B.
composerOfRelatedWorks
Indicates that an entity is the composer of works that are related to another specified work or set of works.
-
C.
worksWithArtist
chosen
Indicates that one entity collaborates or engages in professional work with an artist.
-
D.
subjectRelationToArtist
Indicates the nature of the relationship or connection that the subject has to the artist.
-
E.
partnerOfArtist
Indicates a relationship where one entity is the romantic or life partner of an 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: April 29, 2026, 7:08 p.m.