Triple
T6047102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affirm |
E134694
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Jeff Kaditz
Jeff Kaditz is an American entrepreneur and technologist best known as the co-founder and former CTO of the financial technology company Affirm.
|
E587466
|
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: Jeff Kaditz | Statement: [Affirm, foundedBy, Jeff Kaditz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Kaditz Context triple: [Affirm, foundedBy, Jeff Kaditz]
-
A.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
-
B.
Steven Kemper
Steven Kemper is a film editor known for his work on action and genre movies, including the 2010 supernatural action film "Legion."
-
C.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
D.
David Ditzel
David Ditzel is a computer engineer and entrepreneur best known as the founder of Transmeta and for his work on low-power, innovative microprocessor designs.
-
E.
John Kiffmeyer
John Kiffmeyer is an American drummer best known for being the original drummer of the punk rock band Green Day during their early years.
- 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: Jeff Kaditz Triple: [Affirm, foundedBy, Jeff Kaditz]
Generated description
Jeff Kaditz is an American entrepreneur and technologist best known as the co-founder and former CTO of the financial technology company Affirm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Kaditz Target entity description: Jeff Kaditz is an American entrepreneur and technologist best known as the co-founder and former CTO of the financial technology company Affirm.
-
A.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
-
B.
Steven Kemper
Steven Kemper is a film editor known for his work on action and genre movies, including the 2010 supernatural action film "Legion."
-
C.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
D.
David Ditzel
David Ditzel is a computer engineer and entrepreneur best known as the founder of Transmeta and for his work on low-power, innovative microprocessor designs.
-
E.
John Kiffmeyer
John Kiffmeyer is an American drummer best known for being the original drummer of the punk rock band Green Day during their early years.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e70fd48190b4554e9a516a1c88 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62cfca10c8190b9e0691ba90fff02 |
completed | March 27, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69c62dcb9e1481909fb357f2b010bc19 |
completed | March 27, 2026, 7:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62e33354481908a6a9af5c245f307 |
completed | March 27, 2026, 7:13 a.m. |
Created at: March 22, 2026, 4:09 p.m.