Triple
T5236522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami Hurricanes football |
E118233
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object | Michael Irvin |
E45683
|
NE FINISHED |
How this triple was built (2 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: Michael Irvin | Statement: [Miami Hurricanes football, notableAlumnus, Michael Irvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Irvin Context triple: [Miami Hurricanes football, notableAlumnus, Michael Irvin]
-
A.
Michael Irvin
chosen
Michael Irvin is a Hall of Fame former NFL wide receiver best known as a key offensive star of the Dallas Cowboys dynasty of the 1990s.
-
B.
Ty Law
Ty Law is a former NFL cornerback best known for his Pro Bowl career with the New England Patriots and induction into the Pro Football Hall of Fame.
-
C.
Deion Branch
Deion Branch is a former NFL wide receiver best known for his standout performances with the New England Patriots, including earning Super Bowl MVP honors.
-
D.
Darrell Green
Darrell Green is a Hall of Fame NFL cornerback renowned for his exceptional speed and longevity during a 20-year career with Washington’s football franchise.
-
E.
Roderick Kevin Woodson
Roderick Kevin Woodson is a Hall of Fame former NFL defensive back and return specialist, best known for his long, standout career primarily with the Pittsburgh Steelers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2595c88190b4ca0b99c2f31472 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef820285881909f0e569e020a58ae |
completed | March 21, 2026, 7:57 p.m. |
Created at: March 20, 2026, 1:49 p.m.