Triple
T16669983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Democracy |
E405083
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Chris Pitman
Chris Pitman is an American musician and multi-instrumentalist best known for his work with Guns N' Roses during the "Chinese Democracy" era.
|
E1229676
|
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: Chris Pitman | Statement: [Chinese Democracy, producer, Chris Pitman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Pitman Context triple: [Chinese Democracy, producer, Chris Pitman]
-
A.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
B.
Steven Waddington
Steven Waddington is a British actor known for his roles in historical and adventure films and television dramas.
-
C.
Tony Jewell
Tony Jewell is a former Australian rules football coach best known for leading the Richmond Football Club to the 1980 VFL premiership.
-
D.
Geoff Pierson
Geoff Pierson is an American actor known for his work in television dramas and comedies, including prominent roles on shows like Dexter and Unhappily Ever After.
-
E.
Stephen Gedney
Stephen Gedney is an American electrical engineer and academic known for his contributions to computational electromagnetics and numerical methods in electromagnetic modeling.
- 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: Chris Pitman Triple: [Chinese Democracy, producer, Chris Pitman]
Generated description
Chris Pitman is an American musician and multi-instrumentalist best known for his work with Guns N' Roses during the "Chinese Democracy" era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Pitman Target entity description: Chris Pitman is an American musician and multi-instrumentalist best known for his work with Guns N' Roses during the "Chinese Democracy" era.
-
A.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
B.
Steven Waddington
Steven Waddington is a British actor known for his roles in historical and adventure films and television dramas.
-
C.
Tony Jewell
Tony Jewell is a former Australian rules football coach best known for leading the Richmond Football Club to the 1980 VFL premiership.
-
D.
Geoff Pierson
Geoff Pierson is an American actor known for his work in television dramas and comedies, including prominent roles on shows like Dexter and Unhappily Ever After.
-
E.
Stephen Gedney
Stephen Gedney is an American electrical engineer and academic known for his contributions to computational electromagnetics and numerical methods in electromagnetic modeling.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca079ec819090b356c86a9241cc |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091901fd88190a3c0e4b133121a02 |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a009376a8308190b0d2a924e893da2e |
completed | May 10, 2026, 2:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009a0bd7f8819090fb16d88108b96d |
completed | May 10, 2026, 2:45 p.m. |
Created at: April 10, 2026, 5:18 a.m.