Triple
T11506793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Griffey Sr. |
E272805
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
George
George "Ken" Griffey Sr. is a former American Major League Baseball outfielder best known for his All-Star career with the Cincinnati Reds and as the father of Hall of Famer Ken Griffey Jr.
|
E929842
|
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: George | Statement: [Ken Griffey Sr., givenName, George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Context triple: [Ken Griffey Sr., givenName, George]
-
A.
George
George is the heroic protagonist of the fantasy film "The Magic Sword," known for embarking on a perilous quest to rescue a princess from an evil sorcerer.
-
B.
George
George is a common English surname of likely Greek and Latin origin, associated with numerous notable historical and contemporary figures.
-
C.
George
George is the given name of George Murray, 6th Duke of Atholl, a Scottish peer and nobleman of the 19th century.
-
D.
George
George is the given name of George de Hevesy, the Hungarian radiochemist and Nobel laureate known for pioneering the use of radioactive tracers in studying chemical processes.
-
E.
George
George is a supporting character in the romantic comedy film "27 Dresses," serving as a colleague and love interest within the story’s central wedding-planning world.
- 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: George Triple: [Ken Griffey Sr., givenName, George]
Generated description
George "Ken" Griffey Sr. is a former American Major League Baseball outfielder best known for his All-Star career with the Cincinnati Reds and as the father of Hall of Famer Ken Griffey Jr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Target entity description: George "Ken" Griffey Sr. is a former American Major League Baseball outfielder best known for his All-Star career with the Cincinnati Reds and as the father of Hall of Famer Ken Griffey Jr.
-
A.
George
George is the first name of Hall of Fame baseball player Ken Griffey Jr., one of Major League Baseball’s most celebrated outfielders.
-
B.
George
George is the birth name of the legendary American baseball player Babe Ruth, one of the sport’s most iconic figures.
-
C.
George
George is the given first name of American Major League Baseball pitcher Lefty Tyler, who played in the early 20th century.
-
D.
George
George is the given name of George Brett, the Hall of Fame Major League Baseball third baseman best known for his career with the Kansas City Royals.
-
E.
George
George is the given first name of Pat Summerall, the famed American sportscaster and former NFL placekicker.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db43a648190be859bec2fe9f43b |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6249ee74881908814cf59c82038a6 |
completed | April 20, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69e62cf224f881908badcdab6aea1aef |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e663ffedfc8190a2b51995c62d1e6b |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:36 p.m.