Triple
T8484312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago |
E200794
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Tony Obrohta
Tony Obrohta is a musician best known as a member of the Chicago music scene.
|
E739016
|
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: Tony Obrohta | Statement: [Chicago, member, Tony Obrohta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Obrohta Context triple: [Chicago, member, Tony Obrohta]
-
A.
David Kajganich
David Kajganich is an American screenwriter and producer known for his work on atmospheric horror and thriller projects such as the TV series "The Terror" and the film "Suspiria."
-
B.
Mike Konopacki
Mike Konopacki is an American political cartoonist known for his labor- and social-justice-focused comics and graphic works.
-
C.
Michael Blaha
Michael Blaha is a computer scientist and software engineer known for his pioneering work in object-oriented modeling and database design, including co-developing the Object Modeling Technique (OMT).
-
D.
Jeff Jagodzinski
Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
-
E.
Mark Poloncarz
Mark Poloncarz is an American politician and attorney who serves as the chief executive of Erie County, New York.
- 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: Tony Obrohta Triple: [Chicago, member, Tony Obrohta]
Generated description
Tony Obrohta is a musician best known as a member of the Chicago music scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony Obrohta Target entity description: Tony Obrohta is a musician best known as a member of the Chicago music scene.
-
A.
David Kajganich
David Kajganich is an American screenwriter and producer known for his work on atmospheric horror and thriller projects such as the TV series "The Terror" and the film "Suspiria."
-
B.
Mike Konopacki
Mike Konopacki is an American political cartoonist known for his labor- and social-justice-focused comics and graphic works.
-
C.
Michael Blaha
Michael Blaha is a computer scientist and software engineer known for his pioneering work in object-oriented modeling and database design, including co-developing the Object Modeling Technique (OMT).
-
D.
Jeff Jagodzinski
Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
-
E.
Mark Poloncarz
Mark Poloncarz is an American politician and attorney who serves as the chief executive of Erie County, New York.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe539b70c81909f8f045312f0d5f8 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4de95e3081908277c65598f3884a |
completed | April 2, 2026, 11:07 a.m. |
| NEDg | Description generation | batch_69ce5028c38c81908e81390d0be21387 |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce517fea7c819098d0343fd2c4ccdd |
completed | April 2, 2026, 11:22 a.m. |
Created at: March 30, 2026, 6:12 p.m.