Triple
T15089005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Simms |
E360362
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Matt Simms |
E360362
|
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: Matt Simms | Statement: [Matt Simms, name, Matt Simms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Simms Context triple: [Matt Simms, name, Matt Simms]
-
A.
Matt Simms
chosen
Matt Simms is an American football quarterback known for his time in the NFL as a backup and practice-squad player with several teams, including the New York Jets.
-
B.
Trent Dilfer
Trent Dilfer is a former NFL quarterback best known for leading the Baltimore Ravens to a championship in Super Bowl XXXV and later working as a football analyst and college coach.
-
C.
Chris Simms
Chris Simms is a former NFL quarterback who played primarily for the Tampa Bay Buccaneers and later became a football analyst and commentator.
-
D.
Drew Bledsoe
Drew Bledsoe is a former NFL quarterback best known for his long tenure with the New England Patriots and for paving the way for Tom Brady’s rise after Bledsoe’s injury.
-
E.
John Beck
John Beck is a film producer best known for his work on the classic 1950 comedy-fantasy movie "Harvey."
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00277ea808190be3f002a8316eff1 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1ba4208190b1e8c55668a1b422 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.