Triple
T18422011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Surfaris |
E442044
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Jim Pash |
—
|
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: Jim Pash | Statement: [The Surfaris, hasMember, Jim Pash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Pash Context triple: [The Surfaris, hasMember, Jim Pash]
-
A.
Jim Pash
chosen
Jim Pash was an American musician best known as the saxophonist and later leader of the surf rock band The Surfaris.
-
B.
Mike Paseornek
Mike Paseornek is an American film executive and producer known for his work on genre films, including the 3D horror remake "My Bloody Valentine 3D."
-
C.
Larry Cipa
Larry Cipa is a former American football quarterback best known for his play in the short-lived World Football League, particularly with the Chicago Fire.
-
D.
Scott Pask
Scott Pask is a Tony Award–winning American scenic designer known for his innovative and visually striking sets for major Broadway productions.
-
E.
Jim Klock
Jim Klock is an American actor and filmmaker known for his character roles in film and television, including appearances in projects such as *The Underground Railroad*.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2c98b0819082672174bf69b88c |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.