Triple
T6308910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton, Ohio |
E141449
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Thomas M. Bernabei
Thomas M. Bernabei is an American politician and attorney who has served as the mayor of Canton, Ohio.
|
E640295
|
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: Thomas M. Bernabei | Statement: [Canton, Ohio, hasMayor, Thomas M. Bernabei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas M. Bernabei Context triple: [Canton, Ohio, hasMayor, Thomas M. Bernabei]
-
A.
Thomas M. Milano
Thomas M. Milano is the father of American actress and activist Alyssa Milano.
-
B.
John D. Brancato
John D. Brancato is an American screenwriter best known for co-writing major Hollywood films such as "The Game" and "Terminator 3: Rise of the Machines."
-
C.
John R. Leonetti
John R. Leonetti is an American cinematographer and film director best known for his work on major horror films, including serving as director of photography on "The Conjuring."
-
D.
John J. Tominac
John J. Tominac was a United States Army soldier and Medal of Honor recipient recognized for extraordinary heroism during World War II.
-
E.
Frank G. DeMarco
Frank G. DeMarco is an American cinematographer known for his work on independent and studio films, including the financial thriller "Margin Call."
- 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: Thomas M. Bernabei Triple: [Canton, Ohio, hasMayor, Thomas M. Bernabei]
Generated description
Thomas M. Bernabei is an American politician and attorney who has served as the mayor of Canton, Ohio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas M. Bernabei Target entity description: Thomas M. Bernabei is an American politician and attorney who has served as the mayor of Canton, Ohio.
-
A.
Thomas M. Milano
Thomas M. Milano is the father of American actress and activist Alyssa Milano.
-
B.
John D. Brancato
John D. Brancato is an American screenwriter best known for co-writing major Hollywood films such as "The Game" and "Terminator 3: Rise of the Machines."
-
C.
John R. Leonetti
John R. Leonetti is an American cinematographer and film director best known for his work on major horror films, including serving as director of photography on "The Conjuring."
-
D.
John J. Tominac
John J. Tominac was a United States Army soldier and Medal of Honor recipient recognized for extraordinary heroism during World War II.
-
E.
Frank G. DeMarco
Frank G. DeMarco is an American cinematographer known for his work on independent and studio films, including the financial thriller "Margin Call."
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647f13a4819095c4ce8c42c5d1fb |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7941f24b881908aeb02b2cae78e12 |
completed | March 28, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69c795143ad481909d0395ca41502e42 |
completed | March 28, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c795fce734819086e20a916aa67f54 |
completed | March 28, 2026, 8:49 a.m. |
Created at: March 22, 2026, 4:28 p.m.