Triple
T1447422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audible |
E31207
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
|
E286875
|
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: Don Katz | Statement: [Audible, foundedBy, Don Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Katz Context triple: [Audible, foundedBy, Don Katz]
-
A.
Alan Baumgarten
Alan Baumgarten is an American film editor known for his work on a variety of feature films and television projects.
-
B.
Norm Schachter
Norm Schachter was a prominent American football official best known for serving as the referee in the first three Super Bowls.
-
C.
Rich Kleiman
Rich Kleiman is an American sports agent and entrepreneur best known as Kevin Durant’s longtime business partner and co-founder of the sports and entertainment company Boardroom and the investment firm Thirty Five Ventures.
-
D.
Jonathan Kaplan
Jonathan Kaplan is an American film and television director best known for his work on the acclaimed 1988 courtroom drama "The Accused."
-
E.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
- 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: Don Katz Triple: [Audible, foundedBy, Don Katz]
Generated description
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Don Katz Target entity description: Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
A.
Alan Baumgarten
Alan Baumgarten is an American film editor known for his work on a variety of feature films and television projects.
-
B.
Norm Schachter
Norm Schachter was a prominent American football official best known for serving as the referee in the first three Super Bowls.
-
C.
Rich Kleiman
Rich Kleiman is an American sports agent and entrepreneur best known as Kevin Durant’s longtime business partner and co-founder of the sports and entertainment company Boardroom and the investment firm Thirty Five Ventures.
-
D.
Jonathan Kaplan
Jonathan Kaplan is an American film and television director best known for his work on the acclaimed 1988 courtroom drama "The Accused."
-
E.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55aa7dc8190aa7452d80ec8305e |
completed | March 1, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af9893d2048190ac3b36c32f14b63d |
completed | March 10, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_69af9990f77081908a03b454fad1fad9 |
completed | March 10, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af99fe48f881908a1a20f5eed8688c |
completed | March 10, 2026, 4:11 a.m. |
Created at: March 1, 2026, 8 p.m.