Triple
T15657605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodstock, Georgia |
E376483
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Michael Caldwell
Michael Caldwell is an American local government leader serving as the mayor of Woodstock, Georgia.
|
E1200952
|
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: Michael Caldwell | Statement: [Woodstock, Georgia, hasMayor, Michael Caldwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Caldwell Context triple: [Woodstock, Georgia, hasMayor, Michael Caldwell]
-
A.
Matthew Caldwell
Matthew Caldwell was a notable historical figure significant enough in Louisiana history that Caldwell Parish was named in his honor, likely for his contributions to the region or state.
-
B.
Chris Caldwell
Chris Caldwell is a writer known for his contributions to Prospect magazine, where he provides commentary and analysis on contemporary political and cultural issues.
-
C.
Chris Caldwell
Chris Caldwell is a film director known for his work on the science fiction thriller "Prospect."
-
D.
Mathew Caldwell
Mathew Caldwell was a 19th-century Texas figure, known as a soldier and political leader during the era of the Texas Revolution.
-
E.
Andrew Crawford
Andrew Crawford is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
- 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: Michael Caldwell Triple: [Woodstock, Georgia, hasMayor, Michael Caldwell]
Generated description
Michael Caldwell is an American local government leader serving as the mayor of Woodstock, Georgia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Caldwell Target entity description: Michael Caldwell is an American local government leader serving as the mayor of Woodstock, Georgia.
-
A.
Matthew Caldwell
Matthew Caldwell was a notable historical figure significant enough in Louisiana history that Caldwell Parish was named in his honor, likely for his contributions to the region or state.
-
B.
Chris Caldwell
Chris Caldwell is a film director known for his work on the science fiction thriller "Prospect."
-
C.
Chris Caldwell
Chris Caldwell is a writer known for his contributions to Prospect magazine, where he provides commentary and analysis on contemporary political and cultural issues.
-
D.
Mathew Caldwell
Mathew Caldwell was a 19th-century Texas figure, known as a soldier and political leader during the era of the Texas Revolution.
-
E.
Andrew Crawford
Andrew Crawford is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef3cb8c8190a10815b675b341c1 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000777c6a08190a4deed9952179be5 |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a000a2a30d881908f6884adcfbb6914 |
completed | May 10, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000a8ab07c8190a83a4a35e7664555 |
completed | May 10, 2026, 4:33 a.m. |
Created at: April 10, 2026, 4:15 a.m.