Triple
T18731352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunshine Cleaning |
E458041
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jeb Brody
Jeb Brody is a film producer known for his work on independent and studio features, including the dark comedy-drama "Sunshine Cleaning."
|
E1340070
|
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: Jeb Brody | Statement: [Sunshine Cleaning, producer, Jeb Brody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeb Brody Context triple: [Sunshine Cleaning, producer, Jeb Brody]
-
A.
Don Traeger
Don Traeger is a video game industry figure best known as a co-founder of the game development studio Treyarch.
-
B.
Michael Toombs
Michael Toombs is an American artist and community activist known for his public art projects and work in arts-based community development.
-
C.
Dick Dodd
Dick Dodd was an American singer and drummer best known as a member of the 1960s garage rock band The Standells and for singing their hit "Dirty Water."
-
D.
Don Galloway
Don Galloway was an American actor best known for his role as Detective Sergeant Ed Brown on the television series "Ironside."
-
E.
Mack Rhoades
Mack Rhoades is a collegiate athletics administrator best known for serving as the athletic director at Baylor University, overseeing the Baylor Bears sports programs.
- 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: Jeb Brody Triple: [Sunshine Cleaning, producer, Jeb Brody]
Generated description
Jeb Brody is a film producer known for his work on independent and studio features, including the dark comedy-drama "Sunshine Cleaning."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeb Brody Target entity description: Jeb Brody is a film producer known for his work on independent and studio features, including the dark comedy-drama "Sunshine Cleaning."
-
A.
Don Traeger
Don Traeger is a video game industry figure best known as a co-founder of the game development studio Treyarch.
-
B.
Michael Toombs
Michael Toombs is an American artist and community activist known for his public art projects and work in arts-based community development.
-
C.
Dick Dodd
Dick Dodd was an American singer and drummer best known as a member of the 1960s garage rock band The Standells and for singing their hit "Dirty Water."
-
D.
Don Galloway
Don Galloway was an American actor best known for his role as Detective Sergeant Ed Brown on the television series "Ironside."
-
E.
Mack Rhoades
Mack Rhoades is a collegiate athletics administrator best known for serving as the athletic director at Baylor University, overseeing the Baylor Bears sports programs.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7854748190b66c4aaadfd67f29 |
completed | April 20, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05325b685c8190a2889755ed931973 |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a053410a8188190992d9fa6130ab372 |
completed | May 14, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05349009e481909fb757415468aa70 |
completed | May 14, 2026, 2:33 a.m. |
Created at: April 10, 2026, 11:51 a.m.