Triple
T11797733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birmingham Barracudas |
E280541
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Fred Childress
Fred Childress is a former professional gridiron football offensive lineman best known for his successful career in the Canadian Football League, where he became a multiple-time all-star and Grey Cup champion.
|
E1306125
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Childress Context triple: [Birmingham Barracudas, notablePlayer, Fred Childress]
-
A.
Richard Childress
Richard Childress is an American former NASCAR driver and prominent team owner of Richard Childress Racing, known for fielding championship-winning cars for legends like Dale Earnhardt.
-
B.
Ray Evernham
Ray Evernham is an American former NASCAR crew chief and team owner best known for his championship-winning partnership with driver Jeff Gordon and his influential role in modern stock car racing.
-
C.
Darrell Waltrip
Darrell Waltrip is a former NASCAR Cup Series champion who became a prominent television race analyst and commentator.
-
D.
Joe Gibbs
Joe Gibbs is a Hall of Fame NFL coach best known for leading Washington to three Super Bowl titles during the 1980s and early 1990s.
-
E.
Joe Gibbs
Joe Gibbs was a pioneering Jamaican reggae producer and record label owner known for shaping the sound of roots reggae and rocksteady in the 1960s and 1970s.
- 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: Fred Childress Triple: [Birmingham Barracudas, notablePlayer, Fred Childress]
Generated description
Fred Childress is a former professional gridiron football offensive lineman best known for his successful career in the Canadian Football League, where he became a multiple-time all-star and Grey Cup champion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fred Childress Target entity description: Fred Childress is a former professional gridiron football offensive lineman best known for his successful career in the Canadian Football League, where he became a multiple-time all-star and Grey Cup champion.
-
A.
Richard Childress
Richard Childress is an American former NASCAR driver and prominent team owner of Richard Childress Racing, known for fielding championship-winning cars for legends like Dale Earnhardt.
-
B.
Ray Evernham
Ray Evernham is an American former NASCAR crew chief and team owner best known for his championship-winning partnership with driver Jeff Gordon and his influential role in modern stock car racing.
-
C.
Darrell Waltrip
Darrell Waltrip is a former NASCAR Cup Series champion who became a prominent television race analyst and commentator.
-
D.
Joe Gibbs
Joe Gibbs is a Hall of Fame NFL coach best known for leading Washington to three Super Bowl titles during the 1980s and early 1990s.
-
E.
Joe Gibbs
Joe Gibbs was a pioneering Jamaican reggae producer and record label owner known for shaping the sound of roots reggae and rocksteady in the 1960s and 1970s.
- F. None of above. chosen
Provenance (4 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c1792a081909cce0eb4cd1d6870 |
completed | May 12, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_6a037ca6f5888190b0ed34777aae862f |
completed | May 12, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037d319be48190b01a1b8d1f239078 |
completed | May 12, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:42 p.m.