Triple
T5053412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cafe Racers |
E113840
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Sparky Marcus
Sparky Marcus is a film and television producer known for his work on projects such as the series "Cafe Racers."
|
E490231
|
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: Sparky Marcus | Statement: [Cafe Racers, producer, Sparky Marcus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sparky Marcus Context triple: [Cafe Racers, producer, Sparky Marcus]
-
A.
Sparky
Sparky is the loyal, resurrected pet dog at the heart of Tim Burton’s animated film "Frankenweenie."
-
B.
Sparky
Sparky is the nickname of Hall of Fame Major League Baseball manager Sparky Anderson, renowned for leading the Cincinnati Reds and Detroit Tigers to World Series championships.
-
C.
Paulie Bleeker
Paulie Bleeker is a shy, sweet-natured high school track athlete and the awkward love interest of the title character in the film "Juno."
-
D.
Shaun
Shaun is a given name associated with the English actor Sean Bean, known for his roles in film and television such as "The Lord of the Rings" and "Game of Thrones."
-
E.
Pete
Pete is the nickname of Grover Cleveland Alexander, a Hall of Fame Major League Baseball pitcher and one of the greatest hurlers of the early 20th century.
- 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: Sparky Marcus Triple: [Cafe Racers, producer, Sparky Marcus]
Generated description
Sparky Marcus is a film and television producer known for his work on projects such as the series "Cafe Racers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sparky Marcus Target entity description: Sparky Marcus is a film and television producer known for his work on projects such as the series "Cafe Racers."
-
A.
Sparky
Sparky is the loyal, resurrected pet dog at the heart of Tim Burton’s animated film "Frankenweenie."
-
B.
Sparky
Sparky is the nickname of Hall of Fame Major League Baseball manager Sparky Anderson, renowned for leading the Cincinnati Reds and Detroit Tigers to World Series championships.
-
C.
Paulie Bleeker
Paulie Bleeker is a shy, sweet-natured high school track athlete and the awkward love interest of the title character in the film "Juno."
-
D.
Shaun
Shaun is a given name associated with the English actor Sean Bean, known for his roles in film and television such as "The Lord of the Rings" and "Game of Thrones."
-
E.
Pete
Pete is the nickname of Grover Cleveland Alexander, a Hall of Fame Major League Baseball pitcher and one of the greatest hurlers of the early 20th century.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd742a59448190918766c261cfa13d |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea486b394819082ea80694843b29e |
completed | March 21, 2026, 2 p.m. |
| NEDg | Description generation | batch_69bea509ff4c8190be2ce24e84366ea8 |
completed | March 21, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea577f4b0819084d579e4d4804947 |
completed | March 21, 2026, 2:04 p.m. |
Created at: March 20, 2026, 1:38 p.m.