Triple
T24881139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Teddy Bears |
E622710
|
entity |
| Predicate | vocalRoleOfMember |
P68721
|
FINISHED |
| Object | Marshall Leib provided backing vocals |
—
|
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: Marshall Leib provided backing vocals | Statement: [The Teddy Bears, vocalRoleOfMember, Marshall Leib provided backing vocals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalRoleOfMember Context triple: [The Teddy Bears, vocalRoleOfMember, Marshall Leib provided backing vocals]
-
A.
musicalRole
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
-
B.
vocalCounterpartType
Indicates the type or category of a vocal counterpart relationship that one entity has to another (e.g., spoken, sung, dubbed, narrated).
-
C.
roleInTheVoices
Indicates that an entity has a specific role or participation in the production or performance of "The Voices."
-
D.
vocalistIn
chosen
Indicates that a person serves as a vocalist (singer) in a particular musical group, band, or ensemble.
-
E.
hasMusicalVocalType
Indicates that an entity is associated with a specific type or classification of singing voice.
- 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_69e2fac4aa848190b3446a3922cec150 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:24 a.m.