Triple
T423237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl LIII |
E8149
|
entity |
| Predicate | sidelineReporter |
P10031
|
FINISHED |
| Object |
Jay Feely
Jay Feely is a former NFL placekicker who became a football television analyst and sideline reporter.
|
E57476
|
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: Jay Feely | Statement: [Super Bowl LIII, sidelineReporter, Jay Feely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Feely Context triple: [Super Bowl LIII, sidelineReporter, Jay Feely]
-
A.
Adam Vinatieri
Adam Vinatieri is a former NFL placekicker renowned for his clutch performances and game-winning field goals in multiple Super Bowls, primarily with the New England Patriots.
-
B.
Kurt Warner
Kurt Warner is a former NFL quarterback and Hall of Famer best known for his remarkable rise from undrafted free agent to Super Bowl champion and two-time league MVP.
-
C.
Jim Kelly
Jim Kelly is a Hall of Fame quarterback best known for leading the Buffalo Bills to four consecutive Super Bowl appearances in the early 1990s.
-
D.
Darin McNabb
Darin McNabb is known primarily as the husband of economist and biographer Sylvia Nasar, acclaimed author of "A Beautiful Mind."
-
E.
Matt Eberflus
Matt Eberflus is an American football coach and former NFL defensive coordinator who serves as the head coach of the Chicago Bears.
- 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: Jay Feely Triple: [Super Bowl LIII, sidelineReporter, Jay Feely]
Generated description
Jay Feely is a former NFL placekicker who became a football television analyst and sideline reporter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jay Feely Target entity description: Jay Feely is a former NFL placekicker who became a football television analyst and sideline reporter.
-
A.
Adam Vinatieri
Adam Vinatieri is a former NFL placekicker renowned for his clutch performances and game-winning field goals in multiple Super Bowls, primarily with the New England Patriots.
-
B.
Kurt Warner
Kurt Warner is a former NFL quarterback and Hall of Famer best known for his remarkable rise from undrafted free agent to Super Bowl champion and two-time league MVP.
-
C.
Jim Kelly
Jim Kelly is a Hall of Fame quarterback best known for leading the Buffalo Bills to four consecutive Super Bowl appearances in the early 1990s.
-
D.
Darin McNabb
Darin McNabb is known primarily as the husband of economist and biographer Sylvia Nasar, acclaimed author of "A Beautiful Mind."
-
E.
Matt Eberflus
Matt Eberflus is an American football coach and former NFL defensive coordinator who serves as the head coach of the Chicago Bears.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2f01be4108190b4c13346afd95a03 |
completed | Feb. 28, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a44f522acc81909d16527bd08e458d |
completed | March 1, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69a44fd970d881909ed3ae28debf4760 |
completed | March 1, 2026, 2:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4506c3d4881908eb97e489e4b9078 |
completed | March 1, 2026, 2:42 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.