Triple
T17399660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike & Molly |
E423052
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Mike Biggs
Mike Biggs is a kind-hearted, overweight Chicago police officer who is one of the two titular protagonists in the sitcom "Mike & Molly."
|
E1271787
|
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: Mike Biggs | Statement: [Mike & Molly, mainCharacter, Mike Biggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Biggs Context triple: [Mike & Molly, mainCharacter, Mike Biggs]
-
A.
Mike Gillespie
Mike Gillespie was a highly respected American college baseball coach best known for leading the USC Trojans to sustained success, including a national championship.
-
B.
Don Brewer
Don Brewer is an American drummer and vocalist best known as a founding member of the rock band Grand Funk Railroad.
-
C.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
-
D.
Clint Bolick
Clint Bolick is an American lawyer, legal scholar, and Arizona Supreme Court justice known for his work on constitutional law, civil liberties, and free-market public interest litigation.
-
E.
Don D. Scott
Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
- 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: Mike Biggs Triple: [Mike & Molly, mainCharacter, Mike Biggs]
Generated description
Mike Biggs is a kind-hearted, overweight Chicago police officer who is one of the two titular protagonists in the sitcom "Mike & Molly."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Biggs Target entity description: Mike Biggs is a kind-hearted, overweight Chicago police officer who is one of the two titular protagonists in the sitcom "Mike & Molly."
-
A.
Mike Gillespie
Mike Gillespie was a highly respected American college baseball coach best known for leading the USC Trojans to sustained success, including a national championship.
-
B.
Don Brewer
Don Brewer is an American drummer and vocalist best known as a founding member of the rock band Grand Funk Railroad.
-
C.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
-
D.
Clint Bolick
Clint Bolick is an American lawyer, legal scholar, and Arizona Supreme Court justice known for his work on constitutional law, civil liberties, and free-market public interest litigation.
-
E.
Don D. Scott
Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ac0596481908c400916d5c1b971 |
completed | April 19, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c1ed59fc8190a703d1371c984f46 |
completed | May 11, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_6a01c3112120819088d102c341aab170 |
completed | May 11, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c38e58e08190a1fc3a3e1738d6b0 |
completed | May 11, 2026, 11:54 a.m. |
Created at: April 10, 2026, 5:45 a.m.