Triple
T1322051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradley Whitford |
E28238
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Dan Stark
Dan Stark is a fictional, rule-bending veteran detective from the TV series "The Good Guys," portrayed by actor Bradley Whitford.
|
E151251
|
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: Dan Stark | Statement: [Bradley Whitford, characterPortrayed, Dan Stark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Stark Context triple: [Bradley Whitford, characterPortrayed, Dan Stark]
-
A.
Eric Eldred
Eric Eldred is an American digital rights activist and publisher known for his work promoting free access to literature and for co-founding the Creative Commons movement.
-
B.
Dan Osborn
Dan Osborn is a music industry figure best known as a founder of the independent record label Drag City.
-
C.
Jason Clark
Jason Clark is a television and film producer best known for his work on science-themed documentary series such as "Cosmos: Possible Worlds."
-
D.
Jonathan Stokes
Jonathan Stokes was an 18th-century English physician and botanist associated with the influential Lunar Society of Birmingham.
-
E.
Van Brunt
Van Brunt is the surname of Brom Bones, the boisterous rival of Ichabod Crane in Washington Irving’s “The Legend of Sleepy Hollow.”
- 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: Dan Stark Triple: [Bradley Whitford, characterPortrayed, Dan Stark]
Generated description
Dan Stark is a fictional, rule-bending veteran detective from the TV series "The Good Guys," portrayed by actor Bradley Whitford.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Stark Target entity description: Dan Stark is a fictional, rule-bending veteran detective from the TV series "The Good Guys," portrayed by actor Bradley Whitford.
-
A.
Eric Eldred
Eric Eldred is an American digital rights activist and publisher known for his work promoting free access to literature and for co-founding the Creative Commons movement.
-
B.
Dan Osborn
Dan Osborn is a music industry figure best known as a founder of the independent record label Drag City.
-
C.
Jason Clark
Jason Clark is a television and film producer best known for his work on science-themed documentary series such as "Cosmos: Possible Worlds."
-
D.
Jonathan Stokes
Jonathan Stokes was an 18th-century English physician and botanist associated with the influential Lunar Society of Birmingham.
-
E.
Van Brunt
Van Brunt is the surname of Brom Bones, the boisterous rival of Ichabod Crane in Washington Irving’s “The Legend of Sleepy Hollow.”
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19b76b48190aa8857b80971a842 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf2b8d988190b0d84e886629ed05 |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbfae49d88190988ba80e24e8cc62 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc08672908190b8f411d1378a890a |
completed | March 8, 2026, 12:19 a.m. |
Created at: March 1, 2026, 7:55 p.m.