Triple
T20126217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trixter |
E490762
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Mark Gus Scott
Mark Gus Scott is an American drummer best known as a member of the glam metal band Trixter.
|
E1425189
|
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: Mark Gus Scott | Statement: [Trixter, hasMember, Mark Gus Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Gus Scott Context triple: [Trixter, hasMember, Mark Gus Scott]
-
A.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
B.
Jonathan Scott
Jonathan Scott is a Canadian television personality and licensed contractor best known as one half of the twin duo on the home renovation series "Property Brothers."
-
C.
Jonathan Scott
Jonathan Scott is a wildlife photographer and television presenter best known for his work on BBC nature documentaries, particularly those focusing on big cats in Africa.
-
D.
Rob Scott
Rob Scott is a New Zealand local government leader serving as the mayor of Southland District.
-
E.
Michael Rogers
Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
- 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: Mark Gus Scott Triple: [Trixter, hasMember, Mark Gus Scott]
Generated description
Mark Gus Scott is an American drummer best known as a member of the glam metal band Trixter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Gus Scott Target entity description: Mark Gus Scott is an American drummer best known as a member of the glam metal band Trixter.
-
A.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
B.
Jonathan Scott
Jonathan Scott is a Canadian television personality and licensed contractor best known as one half of the twin duo on the home renovation series "Property Brothers."
-
C.
Jonathan Scott
Jonathan Scott is a wildlife photographer and television presenter best known for his work on BBC nature documentaries, particularly those focusing on big cats in Africa.
-
D.
Rob Scott
Rob Scott is a New Zealand local government leader serving as the mayor of Southland District.
-
E.
Michael Rogers
Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6674223008190827c454fe7ac86f4 |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08693ca5ec8190a58e7a57ba06d381 |
completed | May 16, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a086a05c5888190bb463d405d056039 |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a56506c8190bb34b8b3beab279e |
completed | May 16, 2026, 1 p.m. |
Created at: April 11, 2026, 11:31 p.m.