Triple
T7941072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krueger |
E184390
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
John Krueger
John Krueger is an American mathematician known for his work in set theory and related areas of mathematical logic.
|
E697228
|
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: John Krueger | Statement: [Krueger, hasNotableBearer, John Krueger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Krueger Context triple: [Krueger, hasNotableBearer, John Krueger]
-
A.
Michael O’Keefe
Michael O’Keefe is an American actor best known for his role as young caddie Danny Noonan in the classic comedy film "Caddyshack."
-
B.
Chris DeWolfe
Chris DeWolfe is an American entrepreneur best known as the co-creator and former CEO of the pioneering social networking site MySpace.
-
C.
Turk Malloy
Turk Malloy is a skilled driver and member of Danny Ocean’s crew in the "Ocean's" heist film series.
-
D.
Tom Ryan
Tom Ryan is the central protagonist of the television series "The Unit," depicted as a highly skilled and seasoned leader of an elite U.S. Army special operations team.
-
E.
John Poindexter
John Poindexter is a retired U.S. Navy admiral and government official best known for serving as National Security Advisor under President Ronald Reagan and for his central role in the Iran-Contra affair.
- 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: John Krueger Triple: [Krueger, hasNotableBearer, John Krueger]
Generated description
John Krueger is an American mathematician known for his work in set theory and related areas of mathematical logic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Krueger Target entity description: John Krueger is an American mathematician known for his work in set theory and related areas of mathematical logic.
-
A.
Michael O’Keefe
Michael O’Keefe is an American actor best known for his role as young caddie Danny Noonan in the classic comedy film "Caddyshack."
-
B.
Chris DeWolfe
Chris DeWolfe is an American entrepreneur best known as the co-creator and former CEO of the pioneering social networking site MySpace.
-
C.
Turk Malloy
Turk Malloy is a skilled driver and member of Danny Ocean’s crew in the "Ocean's" heist film series.
-
D.
Tom Ryan
Tom Ryan is the central protagonist of the television series "The Unit," depicted as a highly skilled and seasoned leader of an elite U.S. Army special operations team.
-
E.
John Poindexter
John Poindexter is a retired U.S. Navy admiral and government official best known for serving as National Security Advisor under President Ronald Reagan and for his central role in the Iran-Contra affair.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0ac8bc8190b4e4f79b15c316b3 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c1265008190a97ccedf92f9234e |
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, 5:08 p.m.