Triple
T16122707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebadoh |
E391185
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Jason Loewenstein |
E1172857
|
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: Jason Loewenstein | Statement: [Sebadoh, hasMember, Jason Loewenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Loewenstein Context triple: [Sebadoh, hasMember, Jason Loewenstein]
-
A.
Jason Loewenstein
chosen
Jason Loewenstein is an American indie rock musician best known as a member of Sebadoh and for his work as a multi-instrumentalist and producer.
-
B.
Jeff Kodosky
Jeff Kodosky is an American engineer and co-founder of National Instruments, best known as the "father of LabVIEW" for creating the influential graphical programming environment.
-
C.
Jason Blumenthal
Jason Blumenthal is an American film producer known for his work on a variety of Hollywood feature films, including the comedy-drama "Troop Zero."
-
D.
Philip Chosky
Philip Chosky was a philanthropist and benefactor known for his significant support of the arts, particularly theater.
-
E.
Lee David Zlotoff
Lee David Zlotoff is an American television producer, writer, and director best known for creating the action-adventure series "MacGyver."
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e202027e78819091192aa62aedde13 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfb95b348190a006f699c01e85ce |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5 a.m.