Triple
T12864102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansonia |
E307671
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
David S. Cassetti
David S. Cassetti is an American local politician who serves as the mayor of Ansonia, Connecticut.
|
E1050998
|
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: David S. Cassetti | Statement: [Ansonia, hasMayor, David S. Cassetti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David S. Cassetti Context triple: [Ansonia, hasMayor, David S. Cassetti]
-
A.
Daniel L. Fapp
Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
-
B.
Michael E. Bakich
Michael E. Bakich is an American astronomy writer, editor, and popularizer of observational astronomy, long associated with Astronomy magazine.
-
C.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
D.
Michael J. Weithorn
Michael J. Weithorn is an American television writer and producer best known for creating and working on several sitcoms, including "Ned and Stacey" and "The King of Queens."
-
E.
Christopher C. Augur
Christopher C. Augur was a 19th-century United States Army officer and Civil War general who later served in senior administrative roles in the federal government.
- 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: David S. Cassetti Triple: [Ansonia, hasMayor, David S. Cassetti]
Generated description
David S. Cassetti is an American local politician who serves as the mayor of Ansonia, Connecticut.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David S. Cassetti Target entity description: David S. Cassetti is an American local politician who serves as the mayor of Ansonia, Connecticut.
-
A.
Daniel L. Fapp
Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
-
B.
Michael E. Bakich
Michael E. Bakich is an American astronomy writer, editor, and popularizer of observational astronomy, long associated with Astronomy magazine.
-
C.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
D.
Michael J. Weithorn
Michael J. Weithorn is an American television writer and producer best known for creating and working on several sitcoms, including "Ned and Stacey" and "The King of Queens."
-
E.
Christopher C. Augur
Christopher C. Augur was a 19th-century United States Army officer and Civil War general who later served in senior administrative roles in the federal government.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708cf6b48190886a99e04d85d348 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f72e950819082326a8f84a8a260 |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f780ccf5948190b374514370f910f4 |
completed | May 3, 2026, 5:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78157b9cc8190a1855cb9715aa7d5 |
completed | May 3, 2026, 5:09 p.m. |
Created at: April 9, 2026, 5:37 p.m.