Triple
T18336084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawn Rhoden |
E439272
|
entity |
| Predicate | trainedBy |
P3665
|
FINISHED |
| Object |
Chris Aceto
Chris Aceto is a renowned American bodybuilding coach, nutritionist, and contest prep specialist known for working with numerous elite professional bodybuilders.
|
E1345018
|
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 Aceto | Statement: [Shawn Rhoden, trainedBy, Chris Aceto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Aceto Context triple: [Shawn Rhoden, trainedBy, Chris Aceto]
-
A.
James DiGiacomo
James DiGiacomo is an American actor best known for his role on the CBS sitcom "Kevin Can Wait."
-
B.
John Ficarra
John Ficarra is an American humor writer and longtime editor-in-chief of Mad magazine, known for shaping its satirical voice for decades.
-
C.
John Femia
John Femia is an actor known for playing the character Marshall Blechtman.
-
D.
Tom Catalano
Tom Catalano is an American record producer best known for his work with artists like Neil Diamond, including producing the hit song "Sweet Caroline."
-
E.
Greg Corrado
Greg Corrado is an American computer scientist and researcher known for his pioneering work in artificial intelligence and deep learning, including co-founding Google Brain.
- 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 Aceto Triple: [Shawn Rhoden, trainedBy, Chris Aceto]
Generated description
Chris Aceto is a renowned American bodybuilding coach, nutritionist, and contest prep specialist known for working with numerous elite professional bodybuilders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Aceto Target entity description: Chris Aceto is a renowned American bodybuilding coach, nutritionist, and contest prep specialist known for working with numerous elite professional bodybuilders.
-
A.
James DiGiacomo
James DiGiacomo is an American actor best known for his role on the CBS sitcom "Kevin Can Wait."
-
B.
John Ficarra
John Ficarra is an American humor writer and longtime editor-in-chief of Mad magazine, known for shaping its satirical voice for decades.
-
C.
John Femia
John Femia is an actor known for playing the character Marshall Blechtman.
-
D.
Tom Catalano
Tom Catalano is an American record producer best known for his work with artists like Neil Diamond, including producing the hit song "Sweet Caroline."
-
E.
Greg Corrado
Greg Corrado is an American computer scientist and researcher known for his pioneering work in artificial intelligence and deep learning, including co-founding Google Brain.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecd759481909703ed2d0d68199f |
completed | April 19, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0567524c208190b59e3c3b4df57a29 |
completed | May 14, 2026, 6:10 a.m. |
| NEDg | Description generation | batch_6a0567d37444819080c19a1363eedc3b |
completed | May 14, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a056838b2488190a7d23b7cdde05fac |
completed | May 14, 2026, 6:14 a.m. |
Created at: April 10, 2026, 10:37 a.m.