Triple
T7931290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Credit Karma |
E184194
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Kenneth Lin
Kenneth Lin is an entrepreneur best known as the founder and former CEO of the personal finance company Credit Karma.
|
E697120
|
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: Kenneth Lin | Statement: [Credit Karma, foundedBy, Kenneth Lin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenneth Lin Context triple: [Credit Karma, foundedBy, Kenneth Lin]
-
A.
Kenneth Hsu
Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
-
B.
Kenneth Choi
Kenneth Choi is an American actor known for his roles in television series such as "9-1-1" and films including "The Wolf of Wall Street" and "Spider-Man: Homecoming."
-
C.
Jerry Chen
Jerry Chen is a prominent venture capitalist and general partner at Greylock Partners, known for investing in enterprise software and infrastructure startups.
-
D.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
E.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
- 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: Kenneth Lin Triple: [Credit Karma, foundedBy, Kenneth Lin]
Generated description
Kenneth Lin is an entrepreneur best known as the founder and former CEO of the personal finance company Credit Karma.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kenneth Lin Target entity description: Kenneth Lin is an entrepreneur best known as the founder and former CEO of the personal finance company Credit Karma.
-
A.
Kenneth Hsu
Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
-
B.
Kenneth Choi
Kenneth Choi is an American actor known for his roles in television series such as "9-1-1" and films including "The Wolf of Wall Street" and "Spider-Man: Homecoming."
-
C.
Jerry Chen
Jerry Chen is a prominent venture capitalist and general partner at Greylock Partners, known for investing in enterprise software and infrastructure startups.
-
D.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
E.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3accc388819087065ebe7d5d9591 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c041e588190bfbf251ed88d5bcd |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f22f89c8190a98208bf096a2427 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76d2dff8819085ad9e10baad1537 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:07 p.m.