Triple
T20890729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starship |
E514399
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Donny Baldwin |
—
|
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: Donny Baldwin | Statement: [Starship, hasMember, Donny Baldwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donny Baldwin Context triple: [Starship, hasMember, Donny Baldwin]
-
A.
Donny Baldwin
chosen
Donny Baldwin is an American rock drummer best known for his longtime work with Jefferson Starship and its later incarnation Starship.
-
B.
Donnie Morris
Donnie Morris is a central teenage character in the 2014 disaster film "Into the Storm," known for documenting the escalating tornado events on camera.
-
C.
Donnie Brooks
Donnie Brooks is a collegiate athletics administrator who serves as the athletic director for the College of Wooster Fighting Scots.
-
D.
Donnie Wilson
Donnie Wilson is a skilled and street-smart member of an elite Los Angeles County Sheriff's Department unit in the action-crime film "Den of Thieves."
-
E.
Donnie Clark
Donnie Clark is a musician best known as a member of the country rock band Pure Prairie League.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05e307081908f1d044e877017ec |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 12:46 p.m.