Triple
T3929848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitesnake |
E93368
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Michael Devin
Michael Devin is an American rock bassist best known for his work with the hard rock band Whitesnake.
|
E399185
|
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 Devin | Statement: [Whitesnake, hasMember, Michael Devin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Devin Context triple: [Whitesnake, hasMember, Michael Devin]
-
A.
Michael Devine
Michael Devine was an Irish republican hunger striker and INLA member who died during the 1981 Maze Prison hunger strike in Northern Ireland.
-
B.
Michael Jones
Michael Jones was a 17th-century English Parliamentarian general noted for his role in the Irish Confederate Wars, including leading forces at the Battle of Dungan's Hill.
-
C.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
D.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
-
E.
Michael Leeson
Michael Leeson was an American television writer and producer best known for co-creating the groundbreaking sitcom "The Cosby Show."
- 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 Devin Triple: [Whitesnake, hasMember, Michael Devin]
Generated description
Michael Devin is an American rock bassist best known for his work with the hard rock band Whitesnake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Devin Target entity description: Michael Devin is an American rock bassist best known for his work with the hard rock band Whitesnake.
-
A.
Michael Devine
Michael Devine was an Irish republican hunger striker and INLA member who died during the 1981 Maze Prison hunger strike in Northern Ireland.
-
B.
Michael Jones
Michael Jones was a 17th-century English Parliamentarian general noted for his role in the Irish Confederate Wars, including leading forces at the Battle of Dungan's Hill.
-
C.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
D.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
-
E.
Michael Leeson
Michael Leeson was an American television writer and producer best known for co-creating the groundbreaking sitcom "The Cosby Show."
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda7cf3c81909df30744bddbad7e |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5288094408190b5fece72ead94ec1 |
completed | March 14, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69b5293b41748190929665970712707a |
completed | March 14, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b529e9080481908ff0ec30b295cfc3 |
completed | March 14, 2026, 9:27 a.m. |
Created at: March 9, 2026, 3:23 p.m.