Triple
T1796690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardner |
E39619
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Mark Gardner
Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
|
E214065
|
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 Gardner | Statement: [Gardner, hasNotableBearer, Mark Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Gardner Context triple: [Gardner, hasNotableBearer, Mark Gardner]
-
A.
Alex Gartner
Alex Gartner is a film producer known for his work on major Hollywood projects, including the action thriller "Triple Frontier."
-
B.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
-
C.
Gary Dourdan
Gary Dourdan is an American actor best known for playing Warrick Brown on the television series CSI: Crime Scene Investigation.
-
D.
Tim Gardner
Tim Gardner is a neuroscientist and entrepreneur known for co-founding Neuralink, a company developing advanced brain–computer interface technology.
-
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 Gardner Triple: [Gardner, hasNotableBearer, Mark Gardner]
Generated description
Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Gardner Target entity description: Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
-
A.
Alex Gartner
Alex Gartner is a film producer known for his work on major Hollywood projects, including the action thriller "Triple Frontier."
-
B.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
-
C.
Gary Dourdan
Gary Dourdan is an American actor best known for playing Warrick Brown on the television series CSI: Crime Scene Investigation.
-
D.
Tim Gardner
Tim Gardner is a neuroscientist and entrepreneur known for co-founding Neuralink, a company developing advanced brain–computer interface technology.
-
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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa653ef7f481908226ff71afca672a |
completed | March 6, 2026, 5:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adead0fb988190b403f5c62cbe991a |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adeb503ec88190b8d0cb17bbb8f520 |
completed | March 8, 2026, 9:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adef13e030819086e9e8862198d859 |
completed | March 8, 2026, 9:50 p.m. |
Created at: March 4, 2026, 7:32 p.m.