Triple
T8500786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodney Bingenheimer |
E201208
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | SiriusXM |
E171149
|
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: SiriusXM | Statement: [Rodney Bingenheimer, employer, SiriusXM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SiriusXM Context triple: [Rodney Bingenheimer, employer, SiriusXM]
-
A.
SiriusXM
chosen
SiriusXM is a satellite and online radio broadcasting company in North America that offers a wide range of music, sports, news, and talk channels by subscription.
-
B.
SIRIUS
SIRIUS is a Siemens modular system of industrial control and protection devices used for motor control, switching, and circuit protection in automation and power distribution applications.
-
C.
iHeartRadio
iHeartRadio is a free broadcast and internet radio platform that offers live radio stations, music playlists, and podcasts across the United States and beyond.
-
D.
Xumo
Xumo is a free, ad-supported streaming television service offering a variety of live and on-demand channels and content.
-
E.
iHeartMedia
iHeartMedia is a major American mass media and entertainment company best known for its extensive portfolio of radio stations, digital audio platforms, and live events.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5996ce88190956cb3f8d9ad3daf |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e14c3d081908e98d5d7ad74716d |
completed | April 2, 2026, 11:08 a.m. |
Created at: March 30, 2026, 6:14 p.m.