Triple
T5160611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2 Fast 2 Furious |
E116425
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Carter Verone
Carter Verone is the ruthless Argentine drug lord and primary antagonist in the film "2 Fast 2 Furious."
|
E499466
|
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: Carter Verone | Statement: [2 Fast 2 Furious, character, Carter Verone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carter Verone Context triple: [2 Fast 2 Furious, character, Carter Verone]
-
A.
Carter De Haven
Carter De Haven was an American actor, comedian, and film director active in the early to mid-20th century, known for his work in both silent and sound films.
-
B.
Carter Stevens
Carter Stevens is an American former adult film actor and director who was active primarily in the 1970s and 1980s.
-
C.
Carter Lang
Carter Lang is an American record producer and songwriter known for his work with artists like Chance the Rapper, SZA, and Post Malone.
-
D.
Carter Covington
Carter Covington is an American television writer and producer known for his work on series such as "Greek" and for developing the MTV adaptation of "The Hard Times of RJ Berger."
-
E.
Kristopher Carter
Kristopher Carter is an American composer best known for his dynamic, award-winning musical scores for animated superhero television series and films.
- 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: Carter Verone Triple: [2 Fast 2 Furious, character, Carter Verone]
Generated description
Carter Verone is the ruthless Argentine drug lord and primary antagonist in the film "2 Fast 2 Furious."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carter Verone Target entity description: Carter Verone is the ruthless Argentine drug lord and primary antagonist in the film "2 Fast 2 Furious."
-
A.
Carter De Haven
Carter De Haven was an American actor, comedian, and film director active in the early to mid-20th century, known for his work in both silent and sound films.
-
B.
Carter Stevens
Carter Stevens is an American former adult film actor and director who was active primarily in the 1970s and 1980s.
-
C.
Carter Lang
Carter Lang is an American record producer and songwriter known for his work with artists like Chance the Rapper, SZA, and Post Malone.
-
D.
Carter Covington
Carter Covington is an American television writer and producer known for his work on series such as "Greek" and for developing the MTV adaptation of "The Hard Times of RJ Berger."
-
E.
Kristopher Carter
Kristopher Carter is an American composer best known for his dynamic, award-winning musical scores for animated superhero television series and films.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79073a54819080cd1e8de6fe906a |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed92b3ab48190900cf5c246dba433 |
completed | March 21, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69beda3bfee08190a6e1d8b06739cade |
completed | March 21, 2026, 5:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beda93175481908c79010c7fe6897e |
completed | March 21, 2026, 5:51 p.m. |
Created at: March 20, 2026, 1:44 p.m.