Triple
T9333130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolphins |
E224573
|
entity |
| Predicate | athleticDirector |
P745
|
FINISHED |
| Object |
Jason Kehler
Jason Kehler is a sports administrator who serves as the athletic director for the Dolphins athletic program.
|
E826756
|
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: Jason Kehler | Statement: [Dolphins, athleticDirector, Jason Kehler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Kehler Context triple: [Dolphins, athleticDirector, Jason Kehler]
-
A.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
-
B.
Matthew Stuecken
Matthew Stuecken is a film screenwriter best known for co-writing the psychological sci-fi thriller "10 Cloverfield Lane."
-
C.
Jason Keller
Jason Keller is an American screenwriter best known for co-writing the racing drama film "Ford v Ferrari."
-
D.
Jordan Kerner
Jordan Kerner is an American film and television producer known for projects such as "Less Than Zero" and the live-action "The Smurfs" films.
-
E.
Josh Kramon
Josh Kramon is a television and film composer best known for scoring the cult mystery series "Veronica Mars."
- 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: Jason Kehler Triple: [Dolphins, athleticDirector, Jason Kehler]
Generated description
Jason Kehler is a sports administrator who serves as the athletic director for the Dolphins athletic program.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jason Kehler Target entity description: Jason Kehler is a sports administrator who serves as the athletic director for the Dolphins athletic program.
-
A.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
-
B.
Matthew Stuecken
Matthew Stuecken is a film screenwriter best known for co-writing the psychological sci-fi thriller "10 Cloverfield Lane."
-
C.
Jason Keller
Jason Keller is an American screenwriter best known for co-writing the racing drama film "Ford v Ferrari."
-
D.
Jordan Kerner
Jordan Kerner is an American film and television producer known for projects such as "Less Than Zero" and the live-action "The Smurfs" films.
-
E.
Josh Kramon
Josh Kramon is a television and film composer best known for scoring the cult mystery series "Veronica Mars."
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37ecfd9481908b54e3d4187fb0ce |
completed | April 1, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e3e1ac348190aec39a41b8b113dc |
completed | April 5, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69d1e582a71c8190a7b67d37733db4aa |
completed | April 5, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e617cdf88190bbc4cb733cbdd43b |
completed | April 5, 2026, 4:33 a.m. |
Created at: March 30, 2026, 7:39 p.m.