Triple
T13100825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ty Gibbs |
E310711
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Pat Gibbs
Pat Gibbs is an American football coach and the father of NASCAR driver Ty Gibbs.
|
E1020314
|
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: Pat Gibbs | Statement: [Ty Gibbs, relative, Pat Gibbs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pat Gibbs Context triple: [Ty Gibbs, relative, Pat Gibbs]
-
A.
Randall Mays
Randall Mays is an American businessman best known for his leadership roles in Clear Channel Communications, the media company co-founded by his father, Lowry Mays.
-
B.
Gator Bodine
Gator Bodine is a violent meth-dealing antagonist in the action thriller film "Homefront," known for clashing with the protagonist in a small Louisiana town.
-
C.
Cale Yarborough
Cale Yarborough is an American former NASCAR driver renowned as one of the sport’s greatest competitors, known for his multiple championships and Daytona 500 victories.
-
D.
Randall McDaniel
Randall McDaniel is a Hall of Fame former NFL guard best known for his dominant play with the Minnesota Vikings during the late 1980s and 1990s.
-
E.
Bill Elliott
Bill Elliott is an American former NASCAR driver and Hall of Famer, widely known as "Awesome Bill from Dawsonville" for his success and popularity in stock car racing.
- 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: Pat Gibbs Triple: [Ty Gibbs, relative, Pat Gibbs]
Generated description
Pat Gibbs is an American football coach and the father of NASCAR driver Ty Gibbs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pat Gibbs Target entity description: Pat Gibbs is an American football coach and the father of NASCAR driver Ty Gibbs.
-
A.
Randall Mays
Randall Mays is an American businessman best known for his leadership roles in Clear Channel Communications, the media company co-founded by his father, Lowry Mays.
-
B.
Gator Bodine
Gator Bodine is a violent meth-dealing antagonist in the action thriller film "Homefront," known for clashing with the protagonist in a small Louisiana town.
-
C.
Cale Yarborough
Cale Yarborough is an American former NASCAR driver renowned as one of the sport’s greatest competitors, known for his multiple championships and Daytona 500 victories.
-
D.
Randall McDaniel
Randall McDaniel is a Hall of Fame former NFL guard best known for his dominant play with the Minnesota Vikings during the late 1980s and 1990s.
-
E.
Bill Elliott
Bill Elliott is an American former NASCAR driver and Hall of Famer, widely known as "Awesome Bill from Dawsonville" for his success and popularity in stock car racing.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981515d488190908d3cca1b84a42d |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61bcfe88190866b4330d1669602 |
completed | May 3, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69f6d98988308190b82c7e7a15428af2 |
completed | May 3, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6da5b7098819092feb7064d5e7755 |
completed | May 3, 2026, 5:17 a.m. |
Created at: April 9, 2026, 9:04 p.m.