Triple
T776771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisville, Kentucky |
E16402
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object |
Craig Greenberg
Craig Greenberg is an American businessman, attorney, and Democratic politician serving as the mayor of Louisville, Kentucky.
|
E110796
|
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: Craig Greenberg | Statement: [Louisville, Kentucky, mayor, Craig Greenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Greenberg Context triple: [Louisville, Kentucky, mayor, Craig Greenberg]
-
A.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
B.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
C.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
D.
Eric Friedman
Eric Friedman is an American entrepreneur best known as the co-founder and chief technology officer of the wearable fitness technology company Fitbit.
-
E.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
- 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: Craig Greenberg Triple: [Louisville, Kentucky, mayor, Craig Greenberg]
Generated description
Craig Greenberg is an American businessman, attorney, and Democratic politician serving as the mayor of Louisville, Kentucky.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Craig Greenberg Target entity description: Craig Greenberg is an American businessman, attorney, and Democratic politician serving as the mayor of Louisville, Kentucky.
-
A.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
B.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
C.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
D.
Eric Friedman
Eric Friedman is an American entrepreneur best known as the co-founder and chief technology officer of the wearable fitness technology company Fitbit.
-
E.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a733add08190bccd99cf9ec9096e |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826c85e008190a7bba05607312192 |
completed | March 4, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69a83f42a2b0819093838d15a9406740 |
completed | March 4, 2026, 2:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a83fca462c8190aefe0f53fce8dfc6 |
completed | March 4, 2026, 2:20 p.m. |
Created at: March 1, 2026, 7:37 p.m.