Triple
T22670142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soul Asylum |
E559897
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Michael Bland |
—
|
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: Michael Bland | Statement: [Soul Asylum, hasMember, Michael Bland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Bland Context triple: [Soul Asylum, hasMember, Michael Bland]
-
A.
Michael Bland
chosen
Michael Bland is an American drummer best known for his powerful, versatile work with Prince and other major artists across funk, rock, and pop.
-
B.
Christopher Bland
Christopher Bland was a British businessman, broadcaster, and writer who notably served as chairman of the BBC and BT.
-
C.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
D.
Jason Blundell
Jason Blundell is a video game developer best known as a key creative lead on the Call of Duty: Black Ops Zombies mode at Treyarch.
-
E.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781ed50c8190a6943f51d7337b49 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.