Triple
T10503266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marv (Sin City) |
E247722
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object |
Kevin
Kevin is a silent, cannibalistic serial killer and devoutly religious assassin from Frank Miller's Sin City graphic novel series.
|
E869058
|
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: Kevin | Statement: [Marv (Sin City), enemy, Kevin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Context triple: [Marv (Sin City), enemy, Kevin]
-
A.
Kevin
Kevin is the given name of Kevin Garnett, a Hall of Fame American professional basketball player known for his intensity, versatility, and NBA championship with the Boston Celtics.
-
B.
Kevin
Kevin is the young boy protagonist of the 1981 fantasy adventure film "Time Bandits," who joins a group of time-traveling dwarfs on a series of historical escapades.
-
C.
Kevin
Kevin is a recurring character in the animated series "Ed, Edd n Eddy," known as the neighborhood jock and frequent antagonist to the Eds.
-
D.
Kevin
Kevin is a common masculine given name of Irish origin, meaning "handsome" or "kind."
-
E.
Kevin
Kevin is the given first name of American actor and former professional athlete Chuck Connors.
- 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: Kevin Triple: [Marv (Sin City), enemy, Kevin]
Generated description
Kevin is a silent, cannibalistic serial killer and devoutly religious assassin from Frank Miller's Sin City graphic novel series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Target entity description: Kevin is a silent, cannibalistic serial killer and devoutly religious assassin from Frank Miller's Sin City graphic novel series.
-
A.
Kevin
Kevin is a recurring character in the animated series "Ed, Edd n Eddy," known as the neighborhood jock and frequent antagonist to the Eds.
-
B.
Kevin
Kevin is the given name of Kevin Garnett, a Hall of Fame American professional basketball player known for his intensity, versatility, and NBA championship with the Boston Celtics.
-
C.
Kevin
Kevin is a character in the play "Clybourne Park," serving as one of the contemporary residents whose interactions highlight ongoing racial and social tensions in the gentrifying neighborhood.
-
D.
Kevin
Kevin is the given first name of American actor and former professional athlete Chuck Connors.
-
E.
Kevin
Kevin is the large, colorful, flightless tropical bird from Pixar's animated film "Up," known for her quirky behavior and bond with Carl and Russell.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5099d62408190a6c6884411c6e423 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90ddbbb3c8190873e8e3c27039b16 |
completed | April 10, 2026, 2:48 p.m. |
| NEDg | Description generation | batch_69d9107c75108190994939ab46aa642f |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9154c922c81909991f87f89c083cd |
completed | April 10, 2026, 3:20 p.m. |
Created at: April 6, 2026, 12:25 p.m.