Triple
T16744117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Mario series |
E406903
|
entity |
| Predicate | notablePowerUp |
P82640
|
FINISHED |
| Object |
Cat Bell
Cat Bell is a power-up item in the Super Mario series that transforms characters into cat-like forms, granting abilities such as climbing walls and performing claw attacks.
|
E1232711
|
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: Cat Bell | Statement: [Super Mario series, notablePowerUp, Cat Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cat Bell Context triple: [Super Mario series, notablePowerUp, Cat Bell]
-
A.
Katerina Kittycat
Katerina Kittycat is a playful, imaginative kitten and one of Daniel Tiger’s close friends in the children’s animated series "Daniel Tiger’s Neighborhood."
-
B.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
C.
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.
-
D.
Kitty
Kitty is a character from the work "The Olive Tree," likely serving as a key figure in its narrative.
-
E.
Kitty
Kitty is a fictional character appearing in the 1944 romantic drama film "Love Story."
- 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: Cat Bell Triple: [Super Mario series, notablePowerUp, Cat Bell]
Generated description
Cat Bell is a power-up item in the Super Mario series that transforms characters into cat-like forms, granting abilities such as climbing walls and performing claw attacks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cat Bell Target entity description: Cat Bell is a power-up item in the Super Mario series that transforms characters into cat-like forms, granting abilities such as climbing walls and performing claw attacks.
-
A.
Katerina Kittycat
Katerina Kittycat is a playful, imaginative kitten and one of Daniel Tiger’s close friends in the children’s animated series "Daniel Tiger’s Neighborhood."
-
B.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
C.
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.
-
D.
Kitty
Kitty is a fictional character appearing in the 1944 romantic drama film "Love Story."
-
E.
Kitty
Kitty is an American singer, rapper, and songwriter known for her ethereal, internet-influenced pop and hip-hop music.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa210ef88190be74bd60d7144953 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a51e69c08190a5bff74823df430c |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a782502c819086c07dbcfc1b46eb |
completed | May 10, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a7e3725c81909afbf1abb4eb317b |
completed | May 10, 2026, 3:44 p.m. |
Created at: April 10, 2026, 5:21 a.m.