Triple
T10469396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin & Perry Go Large |
E246884
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Eyeball Paul
Eyeball Paul is a fictional, hard-partying DJ and comic antagonist from the British comedy film "Kevin & Perry Go Large."
|
E864524
|
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: Eyeball Paul | Statement: [Kevin & Perry Go Large, mainCharacter, Eyeball Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eyeball Paul Context triple: [Kevin & Perry Go Large, mainCharacter, Eyeball Paul]
-
A.
Tobolowsky
Tobolowsky is the surname of American character actor and storyteller Stephen Tobolowsky, known for his prolific work in film and television.
-
B.
Melvin
Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
-
C.
Melvin
Melvin is the given first name of Mel Lastman, a prominent Canadian businessman and former longtime mayor of Toronto.
-
D.
Melvin
Melvin is a masculine given name of English origin commonly used in various English-speaking countries.
-
E.
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."
- 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: Eyeball Paul Triple: [Kevin & Perry Go Large, mainCharacter, Eyeball Paul]
Generated description
Eyeball Paul is a fictional, hard-partying DJ and comic antagonist from the British comedy film "Kevin & Perry Go Large."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eyeball Paul Target entity description: Eyeball Paul is a fictional, hard-partying DJ and comic antagonist from the British comedy film "Kevin & Perry Go Large."
-
A.
Tobolowsky
Tobolowsky is the surname of American character actor and storyteller Stephen Tobolowsky, known for his prolific work in film and television.
-
B.
Melvin
Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
-
C.
Melvin
Melvin is the given first name of Mel Lastman, a prominent Canadian businessman and former longtime mayor of Toronto.
-
D.
Melvin
Melvin is a masculine given name of English origin commonly used in various English-speaking countries.
-
E.
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."
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89ffdfd988190a37b3444d096e678 |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a1656b348190ba932d03402d6a4d |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2c550ac81908444c6abfe14698a |
completed | April 10, 2026, 7:12 a.m. |
Created at: April 6, 2026, 12:20 p.m.