Triple
T22881310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It Means Mischief |
E567477
|
entity |
| Predicate | hasProtagonist |
P8706
|
FINISHED |
| Object |
Dee
Dee is the mischievous main character of the work "It Means Mischief," known for getting into trouble and driving the story’s humorous and chaotic events.
|
E1559031
|
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: Dee | Statement: [It Means Mischief, hasProtagonist, Dee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dee Context triple: [It Means Mischief, hasProtagonist, Dee]
-
A.
Dee
Dee is the given name of Dee Bradley Baker, an American voice actor known for his extensive work in animation, video games, and film.
-
B.
Dee
Dee is the mythological river goddess associated with the River Dee in Galloway, Scotland.
-
C.
Dee
Dee is a surname most notably associated with American actress Frances Dee, known for her work in early 20th-century cinema.
-
D.
Dee
Dee is a fictional character from the TV sitcom "It's Always Sunny in Philadelphia," known for her abrasive personality, failed acting ambitions, and constant ridicule from her friends.
-
E.
Dee Dee
Dee Dee Blanchard was an American woman whose murder in 2015 exposed her long-term abuse of her daughter Gypsy Rose through Munchausen syndrome by proxy.
- 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: Dee Triple: [It Means Mischief, hasProtagonist, Dee]
Generated description
Dee is the mischievous main character of the work "It Means Mischief," known for getting into trouble and driving the story’s humorous and chaotic events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dee Target entity description: Dee is the mischievous main character of the work "It Means Mischief," known for getting into trouble and driving the story’s humorous and chaotic events.
-
A.
Dee
Dee is the given name of Dee Bradley Baker, an American voice actor known for his extensive work in animation, video games, and film.
-
B.
Dee
Dee is the mythological river goddess associated with the River Dee in Galloway, Scotland.
-
C.
Dee
Dee is a fictional character from the TV sitcom "It's Always Sunny in Philadelphia," known for her abrasive personality, failed acting ambitions, and constant ridicule from her friends.
-
D.
Dee
Dee is a surname most notably associated with American actress Frances Dee, known for her work in early 20th-century cinema.
-
E.
Dee Dee
Dee Dee Blanchard was an American woman whose murder in 2015 exposed her long-term abuse of her daughter Gypsy Rose through Munchausen syndrome by proxy.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5c1ed88190aeac131c5aff6102 |
completed | April 29, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae9e1a24819087d826cf677fcad5 |
completed | May 19, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a0bb08f167081908ff4bd13e291afb5 |
completed | May 19, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bb10db81c8190a23d57c422a71675 |
completed | May 19, 2026, 12:38 a.m. |
Created at: April 17, 2026, 3:39 p.m.