Triple
T11454985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Griffey Jr. |
E271502
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
George
George is the first name of Baseball Hall of Famer Ken Griffey Jr., one of the most celebrated outfielders in Major League Baseball history.
|
E346083
|
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 Jr., givenName, George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Context triple: [Ken Griffey Jr., givenName, George]
-
A.
George
George is the given first name of the fictional character Gob Bluth from the television series "Arrested Development."
-
B.
George
George is the given name of George Stanley, 9th Baron Strange, an English nobleman and politician of the late 15th century.
-
C.
George
George is a middle-aged, embittered history professor whose caustic wit and psychological games drive the intense marital drama in Edward Albee’s play "Who’s Afraid of Virginia Woolf?".
-
D.
George
George is the given name of George Washington Gale Ferris Jr., the American engineer best known for inventing the original Ferris wheel.
-
E.
George
George is the given name of George Carnegie, 6th Earl of Northesk, a Scottish nobleman and naval officer in the Royal Navy.
- 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 Jr., givenName, George]
Generated description
George is the first name of Baseball Hall of Famer Ken Griffey Jr., one of the most celebrated outfielders in Major League Baseball history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Target entity description: George is the first name of Baseball Hall of Famer Ken Griffey Jr., one of the most celebrated outfielders in Major League Baseball history.
-
A.
George
chosen
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 first name of George Strait, the American country music singer known as the "King of Country."
- F. None of above.
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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c7057688190ad8aa99426e4ca30 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8f8049881909c1a52101e4620b3 |
completed | April 20, 2026, 8:51 a.m. |
| NEDg | Description generation | batch_69e5f1557e9c8190b53ce391793b2c7f |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f863bf7c81908969ed0a5b99f032 |
completed | April 20, 2026, 9:56 a.m. |
Created at: April 8, 2026, 9:35 p.m.