Triple
T20870333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Fuzz |
E513871
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Dave Speed
Dave Speed is the hapless Miami cop who gains unpredictable superpowers after a radiation accident in the Italian comedy film "Super Fuzz."
|
E1454876
|
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: Dave Speed | Statement: [Super Fuzz, mainCharacter, Dave Speed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Speed Context triple: [Super Fuzz, mainCharacter, Dave Speed]
-
A.
Dan Spitz
Dan Spitz is an American guitarist best known for his work as the lead guitarist of the pioneering thrash metal band Anthrax during their classic era.
-
B.
Graham Phillips
Graham Phillips is an American actor and director best known for his roles in the TV series "The Good Wife" and films such as "Evan Almighty."
-
C.
David Loder
David Loder is a British racehorse trainer known for preparing high-class thoroughbreds for major flat racing events.
-
D.
Jeff Fordham
Jeff Fordham is a scheming, ambitious music executive on the television drama series "Nashville."
-
E.
Graham Sleight
Graham Sleight is a British critic and editor best known for his work in science fiction and fantasy literature.
- 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: Dave Speed Triple: [Super Fuzz, mainCharacter, Dave Speed]
Generated description
Dave Speed is the hapless Miami cop who gains unpredictable superpowers after a radiation accident in the Italian comedy film "Super Fuzz."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dave Speed Target entity description: Dave Speed is the hapless Miami cop who gains unpredictable superpowers after a radiation accident in the Italian comedy film "Super Fuzz."
-
A.
Dan Spitz
Dan Spitz is an American guitarist best known for his work as the lead guitarist of the pioneering thrash metal band Anthrax during their classic era.
-
B.
Graham Phillips
Graham Phillips is an American actor and director best known for his roles in the TV series "The Good Wife" and films such as "Evan Almighty."
-
C.
David Loder
David Loder is a British racehorse trainer known for preparing high-class thoroughbreds for major flat racing events.
-
D.
Jeff Fordham
Jeff Fordham is a scheming, ambitious music executive on the television drama series "Nashville."
-
E.
Graham Sleight
Graham Sleight is a British critic and editor best known for his work in science fiction and fantasy literature.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4637ec48190830023d20fb8124c |
completed | April 21, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09139a9ef081909585c53823e12ca4 |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a09144734b0819090901b8e6590222f |
completed | May 17, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0914a0fb4c8190be5d504ff65dfe32 |
completed | May 17, 2026, 1:06 a.m. |
Created at: April 16, 2026, 12:45 p.m.