Triple
T12794800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renfield (2023 film) |
E305860
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Sean Furst
Sean Furst is a film producer known for his work on genre and horror projects, including the 2023 movie "Renfield."
|
E1088137
|
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: Sean Furst | Statement: [Renfield (2023 film), producer, Sean Furst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Furst Context triple: [Renfield (2023 film), producer, Sean Furst]
-
A.
Sean Fagan
Sean Fagan is a notable individual whose prominence has led to recognition of the surname Fagan through his achievements.
-
B.
Matthew Shafer
Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
-
C.
Matthew Shafer
Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
-
D.
Derek Frey
Derek Frey is an American film producer best known for his long-time collaboration with director Tim Burton on numerous projects.
-
E.
Sean Faris
Sean Faris is an American actor and model best known for his roles in films like "Never Back Down" and television series such as "Life As We Know It."
- 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: Sean Furst Triple: [Renfield (2023 film), producer, Sean Furst]
Generated description
Sean Furst is a film producer known for his work on genre and horror projects, including the 2023 movie "Renfield."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sean Furst Target entity description: Sean Furst is a film producer known for his work on genre and horror projects, including the 2023 movie "Renfield."
-
A.
Sean Fagan
Sean Fagan is a notable individual whose prominence has led to recognition of the surname Fagan through his achievements.
-
B.
Matthew Shafer
Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
-
C.
Matthew Shafer
Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
-
D.
Derek Frey
Derek Frey is an American film producer best known for his long-time collaboration with director Tim Burton on numerous projects.
-
E.
Sean Faris
Sean Faris is an American actor and model best known for his roles in films like "Never Back Down" and television series such as "Life As We Know It."
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6ca0288190aba01735b71a01da |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27f0e59c8190b40213e999c75feb |
completed | May 8, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_69fd2b2363f881909e04edd850166dd5 |
completed | May 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2cf1a1248190a97644dadf1717bc |
completed | May 8, 2026, 12:23 a.m. |
Created at: April 9, 2026, 5:30 p.m.