Triple
T2351955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucky Number Slevin |
E47466
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Mr. Goodkat
Mr. Goodkat is a mysterious, highly skilled hitman central to the plot of the crime thriller film "Lucky Number Slevin."
|
E259296
|
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: Mr. Goodkat | Statement: [Lucky Number Slevin, mainCharacter, Mr. Goodkat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Goodkat Context triple: [Lucky Number Slevin, mainCharacter, Mr. Goodkat]
-
A.
Aristocat the Tiger
Aristocat the Tiger is the costumed tiger mascot that represents Tennessee State University at its athletic events and campus activities.
-
B.
Blaze the Trail Cat
Blaze the Trail Cat is the energetic, feline-themed mascot who entertains fans at Portland Trail Blazers basketball games.
-
C.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
D.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
-
E.
Mr. Mistoffelees
Mr. Mistoffelees is a magical black-and-white cat character from T. S. Eliot’s poetry, best known today through his prominent role in the musical "Cats."
- 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: Mr. Goodkat Triple: [Lucky Number Slevin, mainCharacter, Mr. Goodkat]
Generated description
Mr. Goodkat is a mysterious, highly skilled hitman central to the plot of the crime thriller film "Lucky Number Slevin."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Goodkat Target entity description: Mr. Goodkat is a mysterious, highly skilled hitman central to the plot of the crime thriller film "Lucky Number Slevin."
-
A.
Aristocat the Tiger
Aristocat the Tiger is the costumed tiger mascot that represents Tennessee State University at its athletic events and campus activities.
-
B.
Blaze the Trail Cat
Blaze the Trail Cat is the energetic, feline-themed mascot who entertains fans at Portland Trail Blazers basketball games.
-
C.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
D.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
-
E.
Mr. Mistoffelees
Mr. Mistoffelees is a magical black-and-white cat character from T. S. Eliot’s poetry, best known today through his prominent role in the musical "Cats."
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f8ff548190b07505310e2bf0b9 |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9631c9a481909a3051ac06afdca7 |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae97f3e3348190824617b882a98146 |
completed | March 9, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae98f57268819086c14006df46b794 |
completed | March 9, 2026, 9:55 a.m. |
Created at: March 4, 2026, 7:54 p.m.