Triple
T15524381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smyrna, Georgia |
E369045
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object |
Derek Norton
Derek Norton is an American local politician who serves as the mayor of Smyrna, Georgia.
|
E1161826
|
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: Derek Norton | Statement: [Smyrna, Georgia, mayor, Derek Norton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Norton Context triple: [Smyrna, Georgia, mayor, Derek Norton]
-
A.
Peter Dobson
Peter Dobson is an American actor known for his work in film and television, particularly in character roles during the 1990s.
-
B.
David Elsworth
David Elsworth is a prominent British racehorse trainer best known for handling the legendary steeplechaser Desert Orchid.
-
C.
Alex Reiger
Alex Reiger is the level-headed, philosophical cab driver who serves as the central character in the classic television sitcom "Taxi."
-
D.
Michael Alldredge
Michael Alldredge was an American character actor known for his supporting roles in films and television during the 1970s and 1980s.
-
E.
Greg Aldering
Greg Aldering is an American astrophysicist known for his work on observational cosmology and supernovae, particularly in studies of the accelerating expansion of the universe.
- 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: Derek Norton Triple: [Smyrna, Georgia, mayor, Derek Norton]
Generated description
Derek Norton is an American local politician who serves as the mayor of Smyrna, Georgia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Derek Norton Target entity description: Derek Norton is an American local politician who serves as the mayor of Smyrna, Georgia.
-
A.
Peter Dobson
Peter Dobson is an American actor known for his work in film and television, particularly in character roles during the 1990s.
-
B.
David Elsworth
David Elsworth is a prominent British racehorse trainer best known for handling the legendary steeplechaser Desert Orchid.
-
C.
Alex Reiger
Alex Reiger is the level-headed, philosophical cab driver who serves as the central character in the classic television sitcom "Taxi."
-
D.
Michael Alldredge
Michael Alldredge was an American character actor known for his supporting roles in films and television during the 1970s and 1980s.
-
E.
Greg Aldering
Greg Aldering is an American astrophysicist known for his work on observational cosmology and supernovae, particularly in studies of the accelerating expansion of the universe.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04143bda08190a2dee44918c1ad1c |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5706948190a1c0f466f7ef8857 |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3e5643088190a9b001ef815ddd3a |
completed | May 9, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3f4456f88190b7fc9b853b0155e4 |
completed | May 9, 2026, 2:05 p.m. |
Created at: April 10, 2026, 4:05 a.m.