Triple
T1327784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLB Network |
E28368
|
entity |
| Predicate | employerOf |
P7
|
FINISHED |
| Object |
Dan Plesac
Dan Plesac is a former Major League Baseball relief pitcher who became a television baseball analyst.
|
E157932
|
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: Dan Plesac | Statement: [MLB Network, employerOf, Dan Plesac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Plesac Context triple: [MLB Network, employerOf, Dan Plesac]
-
A.
Michael Jelenic
Michael Jelenic is an American animator, writer, and producer best known for co-creating the animated series "Teen Titans Go!" and co-directing the 2023 feature film adaptation of the Super Mario franchise.
-
B.
Jeff Matika
Jeff Matika is an American musician best known as a touring guitarist and backing vocalist for Green Day and a member of Billie Joe Armstrong’s side projects.
-
C.
Adam Buksa
Adam Buksa is a Polish professional footballer and striker known for his goal-scoring spells with clubs such as New England Revolution and the Poland national team.
-
D.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
E.
Adam Bohling
Adam Bohling is a British film producer known for his work on high-profile action and genre films, including the Kingsman series.
- 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: Dan Plesac Triple: [MLB Network, employerOf, Dan Plesac]
Generated description
Dan Plesac is a former Major League Baseball relief pitcher who became a television baseball analyst.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Plesac Target entity description: Dan Plesac is a former Major League Baseball relief pitcher who became a television baseball analyst.
-
A.
Michael Jelenic
Michael Jelenic is an American animator, writer, and producer best known for co-creating the animated series "Teen Titans Go!" and co-directing the 2023 feature film adaptation of the Super Mario franchise.
-
B.
Jeff Matika
Jeff Matika is an American musician best known as a touring guitarist and backing vocalist for Green Day and a member of Billie Joe Armstrong’s side projects.
-
C.
Adam Buksa
Adam Buksa is a Polish professional footballer and striker known for his goal-scoring spells with clubs such as New England Revolution and the Poland national team.
-
D.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
E.
Adam Bohling
Adam Bohling is a British film producer known for his work on high-profile action and genre films, including the Kingsman series.
- 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_69acd47471108190b01121b384d871aa |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd6314f488190a56451fae95f863c |
completed | March 8, 2026, 1:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd68afe10819081bb5991fb007da9 |
completed | March 8, 2026, 1:53 a.m. |
Created at: March 1, 2026, 7:55 p.m.