Triple
T22041304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CrossFit Games |
E544642
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Greg Glassman
Greg Glassman is an American fitness coach and entrepreneur best known for creating the CrossFit training methodology and brand.
|
E1515592
|
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: Greg Glassman | Statement: [CrossFit Games, founder, Greg Glassman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Glassman Context triple: [CrossFit Games, founder, Greg Glassman]
-
A.
David Glasser
David Glasser is an American film and television producer and executive known for his work on high-profile projects including the documentary series "Time: The Kalief Browder Story."
-
B.
Greg Bratman
Greg Bratman is a television writer and producer best known for co-creating the Fox sitcom "Sons of Tucson."
-
C.
Gary Glasberg
Gary Glasberg was an American television writer and producer best known for his work on crime dramas, including serving as showrunner on the long-running series NCIS.
-
D.
Arnold Glassman
Arnold Glassman is a film editor best known for his work on the drama film "Frailty."
-
E.
John Daheim
John Daheim was an American character actor who appeared in numerous film and television productions during the mid-20th century.
- 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: Greg Glassman Triple: [CrossFit Games, founder, Greg Glassman]
Generated description
Greg Glassman is an American fitness coach and entrepreneur best known for creating the CrossFit training methodology and brand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greg Glassman Target entity description: Greg Glassman is an American fitness coach and entrepreneur best known for creating the CrossFit training methodology and brand.
-
A.
David Glasser
David Glasser is an American film and television producer and executive known for his work on high-profile projects including the documentary series "Time: The Kalief Browder Story."
-
B.
Greg Bratman
Greg Bratman is a television writer and producer best known for co-creating the Fox sitcom "Sons of Tucson."
-
C.
Gary Glasberg
Gary Glasberg was an American television writer and producer best known for his work on crime dramas, including serving as showrunner on the long-running series NCIS.
-
D.
Arnold Glassman
Arnold Glassman is a film editor best known for his work on the drama film "Frailty."
-
E.
John Daheim
John Daheim was an American character actor who appeared in numerous film and television productions during the mid-20th century.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12828fc788190a22c0e9c2372656b |
completed | April 28, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b6f2a1c819090cfa07e83f24368 |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c73537481908c644642f825569f |
completed | May 18, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7d29f5a08190b41cad11e2192727 |
completed | May 18, 2026, 2:44 a.m. |
Created at: April 16, 2026, 8:25 p.m.