Triple
T1327783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLB Network |
E28368
|
entity |
| Predicate | employerOf |
P7
|
FINISHED |
| Object |
Greg Amsinger
Greg Amsinger is an American sportscaster best known as a studio host and anchor for MLB Network’s baseball coverage.
|
E243659
|
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 Amsinger | Statement: [MLB Network, employerOf, Greg Amsinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Amsinger Context triple: [MLB Network, employerOf, Greg Amsinger]
-
A.
Scott Stuber
Scott Stuber is an American film producer and entertainment executive known for overseeing original films at Netflix and producing major Hollywood movies.
-
B.
Gene Steratore
Gene Steratore is a former NFL and NCAA football official best known as a longtime NFL referee and later rules analyst for CBS Sports.
-
C.
Tom Leppert
Tom Leppert is an American businessman and politician who served as the mayor of Dallas, Texas, and later ran for the U.S. Senate.
-
D.
Chris Bilheimer
Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
-
E.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
- 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 Amsinger Triple: [MLB Network, employerOf, Greg Amsinger]
Generated description
Greg Amsinger is an American sportscaster best known as a studio host and anchor for MLB Network’s baseball coverage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greg Amsinger Target entity description: Greg Amsinger is an American sportscaster best known as a studio host and anchor for MLB Network’s baseball coverage.
-
A.
Scott Stuber
Scott Stuber is an American film producer and entertainment executive known for overseeing original films at Netflix and producing major Hollywood movies.
-
B.
Gene Steratore
Gene Steratore is a former NFL and NCAA football official best known as a longtime NFL referee and later rules analyst for CBS Sports.
-
C.
Tom Leppert
Tom Leppert is an American businessman and politician who served as the mayor of Dallas, Texas, and later ran for the U.S. Senate.
-
D.
Chris Bilheimer
Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
-
E.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c1d8188190b15a641a08345adc |
completed | March 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae650fa53c8190a6db9d10c97f9850 |
completed | March 9, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69ae65bfafec8190adf80379cd5b34f3 |
completed | March 9, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6622b0688190bf90fa04780bbf80 |
completed | March 9, 2026, 6:18 a.m. |
Created at: March 1, 2026, 7:55 p.m.