Triple
T14043429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachael Yamagata |
E337899
|
entity |
| Predicate | wasMemberOf |
P1168
|
FINISHED |
| Object | Bumpus |
E1075571
|
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: Bumpus | Statement: [Rachael Yamagata, wasMemberOf, Bumpus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bumpus Context triple: [Rachael Yamagata, wasMemberOf, Bumpus]
-
A.
Bumpus
chosen
Bumpus is a Chicago-based funk and soul band known for its energetic live performances and for helping launch the career of singer-songwriter Rachael Yamagata.
-
B.
Condor
Condor is the nickname of the Focke-Wulf Fw 200, a long-range German airliner later used as a maritime patrol and bomber aircraft during World War II.
-
C.
Condor
Condor is a German leisure airline known for operating holiday flights to popular vacation destinations, primarily from bases in Germany.
-
D.
Condor
Condor is the codename of the CIA analyst protagonist in the political thriller novel and film "Three Days of the Condor."
-
E.
Byrde
Byrde is an archaic or variant spelling of the word "bird," historically used in Middle and Early Modern English texts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312b94308190bd0961f5bc719c7b |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65c1a90819097754497f07f5312 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.