Triple
T6682663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DeMeco Ryans |
E152022
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | DeMeco Ryans |
E152022
|
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: DeMeco Ryans | Statement: [DeMeco Ryans, fullName, DeMeco Ryans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeMeco Ryans Context triple: [DeMeco Ryans, fullName, DeMeco Ryans]
-
A.
DeMeco Ryans
chosen
DeMeco Ryans is a former NFL linebacker who became a highly regarded defensive coach and is now an NFL head coach.
-
B.
Jerome Tang
Jerome Tang is an American college basketball coach best known for revitalizing the Kansas State Wildcats men's basketball program after a long tenure as an assistant at Baylor.
-
C.
Christian Daboll
Christian Daboll is a member of the Daboll family, related to NFL head coach Brian Daboll.
-
D.
Dez Bryant
Dez Bryant is a former NFL wide receiver best known for his Pro Bowl career with the Dallas Cowboys.
-
E.
Aqib Talib
Aqib Talib is a former American football cornerback known for his standout NFL career, including Pro Bowl seasons and a Super Bowl win, after starring in college at the University of Kansas.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b1214f648190849c655b1e52d473 |
completed | March 27, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7ac6714819081966dea66b590c1 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:04 p.m.