Triple
T9425575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The New Power Generation |
E227255
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Michael Bland
Michael Bland is an American drummer best known for his powerful, versatile work with Prince and other major artists across funk, rock, and pop.
|
E813663
|
NE FINISHED |
How this triple was built (4 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: [The New Power Generation, hasMember, Michael Bland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Bland Context triple: [The New Power Generation, hasMember, Michael Bland]
-
A.
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.
-
B.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
C.
Chris Blunden
Chris Blunden is a film editor known for his work on the 1997 comedy film "Bean."
-
D.
Jonathan Gledhill
Jonathan Gledhill was an English Anglican bishop who served in senior episcopal roles in the Church of England, including as Bishop of Stafford.
-
E.
Dani Stevenson
Dani Stevenson is an American R&B singer best known for her early-2000s work, including featured and background vocals on popular hip-hop and R&B tracks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Michael Bland Triple: [The New Power Generation, hasMember, Michael Bland]
Generated description
Michael Bland is an American drummer best known for his powerful, versatile work with Prince and other major artists across funk, rock, and pop.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Bland Target entity description: Michael Bland is an American drummer best known for his powerful, versatile work with Prince and other major artists across funk, rock, and pop.
-
A.
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.
-
B.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
C.
Chris Blunden
Chris Blunden is a film editor known for his work on the 1997 comedy film "Bean."
-
D.
Jonathan Gledhill
Jonathan Gledhill was an English Anglican bishop who served in senior episcopal roles in the Church of England, including as Bishop of Stafford.
-
E.
Dani Stevenson
Dani Stevenson is an American R&B singer best known for her early-2000s work, including featured and background vocals on popular hip-hop and R&B tracks.
- F. None of above. chosen
Provenance (5 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c8f59dc8190854dfc0d287731c6 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189e39d908190a992a7d00524515d |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18aa1e9a48190bf26da5482fd0770 |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18b6a2fb0819092ee274310721b50 |
completed | April 4, 2026, 10:06 p.m. |
Created at: March 30, 2026, 7:49 p.m.