Triple
T2299364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cal Ripken Jr. |
E51692
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Rachel Ripken
Rachel Ripken is the daughter of Baseball Hall of Famer and Baltimore Orioles legend Cal Ripken Jr.
|
E255267
|
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: Rachel Ripken | Statement: [Cal Ripken Jr., child, Rachel Ripken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Ripken Context triple: [Cal Ripken Jr., child, Rachel Ripken]
-
A.
Kelly Ripken
Kelly Ripken is an American philanthropist and former spouse of Baseball Hall of Famer Cal Ripken Jr., known for her work in health advocacy and charitable initiatives.
-
B.
Cal Ripken Jr.
Cal Ripken Jr. is a Hall of Fame Major League Baseball shortstop and third baseman best known for breaking Lou Gehrig’s record by playing in 2,632 consecutive games.
-
C.
Lis Fenger
Lis Fenger is best known as the wife of Danish architect Jørn Utzon, the designer of the Sydney Opera House.
-
D.
Hope Solo
Hope Solo is a former American soccer goalkeeper widely regarded as one of the best in women's soccer history, known for her long tenure with the U.S. national team and multiple World Cup and Olympic titles.
-
E.
Kate Adams
Kate Adams is a name shared by several notable individuals, including professionals in fields such as law, business, and the arts.
- 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: Rachel Ripken Triple: [Cal Ripken Jr., child, Rachel Ripken]
Generated description
Rachel Ripken is the daughter of Baseball Hall of Famer and Baltimore Orioles legend Cal Ripken Jr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rachel Ripken Target entity description: Rachel Ripken is the daughter of Baseball Hall of Famer and Baltimore Orioles legend Cal Ripken Jr.
-
A.
Kelly Ripken
Kelly Ripken is an American philanthropist and former spouse of Baseball Hall of Famer Cal Ripken Jr., known for her work in health advocacy and charitable initiatives.
-
B.
Cal Ripken Jr.
Cal Ripken Jr. is a Hall of Fame Major League Baseball shortstop and third baseman best known for breaking Lou Gehrig’s record by playing in 2,632 consecutive games.
-
C.
Lis Fenger
Lis Fenger is best known as the wife of Danish architect Jørn Utzon, the designer of the Sydney Opera House.
-
D.
Hope Solo
Hope Solo is a former American soccer goalkeeper widely regarded as one of the best in women's soccer history, known for her long tenure with the U.S. national team and multiple World Cup and Olympic titles.
-
E.
Kate Adams
Kate Adams is a name shared by several notable individuals, including professionals in fields such as law, business, and the arts.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5ec3c948190b47ea763812a1cf5 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8954a804819092c716582f23af14 |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8b188f18819088eaa3866485191a |
completed | March 9, 2026, 8:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8b83efd48190a832032775803919 |
completed | March 9, 2026, 8:57 a.m. |
Created at: March 4, 2026, 7:49 p.m.