Triple
T22708520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The String Cheese Incident |
E561527
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Keith Moseley |
—
|
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: Keith Moseley | Statement: [The String Cheese Incident, hasMember, Keith Moseley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keith Moseley Context triple: [The String Cheese Incident, hasMember, Keith Moseley]
-
A.
Keith Moseley
chosen
Keith Moseley is an American bassist best known as a founding member of the jam band The String Cheese Incident.
-
B.
Brent Truitt
Brent Truitt is an American mandolinist and producer best known for his work in bluegrass and acoustic music, including a stint with the Grammy-winning band The SteelDrivers.
-
C.
Tim Murrell
Tim Murrell is a film editor known for his work on the British dance movie "StreetDance 3D."
-
D.
Stephen Haines
Stephen Haines is a fictional character best known as the husband of Mary Haines in Clare Boothe Luce’s play and its film adaptations, "The Women."
-
E.
Kevin Vann
Kevin Vann is an American prelate of the Roman Catholic Church who serves as the bishop of the Diocese of Orange in California.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178d11d4081909981872698b6c45e |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:17 p.m.