Triple
T5053414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cafe Racers |
E113840
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
George Tobin
George Tobin is an American record producer best known for his work in the 1980s and 1990s with pop artists such as Tiffany.
|
E493418
|
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: George Tobin | Statement: [Cafe Racers, producer, George Tobin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Tobin Context triple: [Cafe Racers, producer, George Tobin]
-
A.
Edward McDonnell
Edward McDonnell is a film producer known for his work on movies such as the psychological thriller "Insomnia" (2002).
-
B.
Max Cullen
Max Cullen is an Australian character actor known for his extensive work in film, television, and theatre over several decades.
-
C.
John O’Keefe
John O’Keefe is a British-American neuroscientist renowned for discovering place cells in the hippocampus, a breakthrough that helped reveal the brain’s internal GPS system.
-
D.
Mark McGann
Mark McGann is an English actor and director known for his work in television, film, and theatre, and as one of the four acting McGann brothers.
-
E.
Matthew F. Leonetti
Matthew F. Leonetti is an American cinematographer known for his work on numerous Hollywood films across action, comedy, and science fiction genres.
- 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: George Tobin Triple: [Cafe Racers, producer, George Tobin]
Generated description
George Tobin is an American record producer best known for his work in the 1980s and 1990s with pop artists such as Tiffany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Tobin Target entity description: George Tobin is an American record producer best known for his work in the 1980s and 1990s with pop artists such as Tiffany.
-
A.
Edward McDonnell
Edward McDonnell is a film producer known for his work on movies such as the psychological thriller "Insomnia" (2002).
-
B.
Max Cullen
Max Cullen is an Australian character actor known for his extensive work in film, television, and theatre over several decades.
-
C.
John O’Keefe
John O’Keefe is a British-American neuroscientist renowned for discovering place cells in the hippocampus, a breakthrough that helped reveal the brain’s internal GPS system.
-
D.
Mark McGann
Mark McGann is an English actor and director known for his work in television, film, and theatre, and as one of the four acting McGann brothers.
-
E.
Matthew F. Leonetti
Matthew F. Leonetti is an American cinematographer known for his work on numerous Hollywood films across action, comedy, and science fiction genres.
- 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_69beba6214988190980d7c7ae4bba902 |
completed | March 21, 2026, 3:33 p.m. |
| NEDg | Description generation | batch_69bebb6e82d88190a9eae9c4861f7588 |
completed | March 21, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bebc0b38e88190830eb74292e00e93 |
completed | March 21, 2026, 3:40 p.m. |
Created at: March 20, 2026, 1:38 p.m.