Triple
T12278673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Family Ties |
E292657
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Brian Bonsall
Brian Bonsall is an American former child actor best known for playing Andy Keaton on the sitcom "Family Ties."
|
E1023132
|
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: Brian Bonsall | Statement: [Family Ties, portrayedBy, Brian Bonsall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Bonsall Context triple: [Family Ties, portrayedBy, Brian Bonsall]
-
A.
Greg Barnett
Greg Barnett is an actor known for his role in the 2013 television miniseries "The Bible."
-
B.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
C.
Brian Blosil
Brian Blosil is an American record producer and the former husband of entertainer Marie Osmond.
-
D.
Dave Bannion
Dave Bannion is a tough, morally driven police detective who wages a relentless one-man war against corruption and organized crime in the classic film noir "The Big Heat."
-
E.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
- 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: Brian Bonsall Triple: [Family Ties, portrayedBy, Brian Bonsall]
Generated description
Brian Bonsall is an American former child actor best known for playing Andy Keaton on the sitcom "Family Ties."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Bonsall Target entity description: Brian Bonsall is an American former child actor best known for playing Andy Keaton on the sitcom "Family Ties."
-
A.
Greg Barnett
Greg Barnett is an actor known for his role in the 2013 television miniseries "The Bible."
-
B.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
C.
Brian Blosil
Brian Blosil is an American record producer and the former husband of entertainer Marie Osmond.
-
D.
Dave Bannion
Dave Bannion is a tough, morally driven police detective who wages a relentless one-man war against corruption and organized crime in the classic film noir "The Big Heat."
-
E.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf1ab8c8190a51f498bfda957d8 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e256fe408190bd40b62eb51b6ef9 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e62bfa4c8190ac8ae42a1a53f521 |
completed | May 3, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e6c30144819096acf6de7317d097 |
completed | May 3, 2026, 6:10 a.m. |
Created at: April 8, 2026, 9:52 p.m.