Triple
T20436726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letter from Home |
E501267
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Steve Rodby |
—
|
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: Steve Rodby | Statement: [Letter from Home, producer, Steve Rodby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Rodby Context triple: [Letter from Home, producer, Steve Rodby]
-
A.
Steve Rodby
chosen
Steve Rodby is an American jazz bassist and producer best known for his long tenure with the Pat Metheny Group and his work in contemporary jazz and fusion.
-
B.
Mike Rodden
Mike Rodden is a musician best known as a member of the American rock band Hinder.
-
C.
Mike Rodden
Mike Rodden is a performer known for his work in the extreme sports and stunt-focused entertainment show "Extreme Behavior."
-
D.
Randy Bricker
Randy Bricker is a film editor known for his work on horror and genre films, including Texas Chainsaw 3D.
-
E.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ef5fc8819089e3f97a63a52f86 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.