Triple
T15656629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bell |
E376458
|
entity |
| Predicate | grantsForm |
P75613
|
FINISHED |
| Object |
Cat Peach
Cat Peach is a special feline-themed transformation of Princess Peach in the Super Mario series, giving her cat-like abilities such as climbing walls and scratching enemies.
|
E1169174
|
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 Peach | Statement: [Super Bell, grantsForm, Cat Peach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cat Peach Context triple: [Super Bell, grantsForm, Cat Peach]
-
A.
Catz
Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
-
B.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
C.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
-
D.
the Cat
The Cat is a sly, cautious feline character in Sergei Prokofiev’s musical fairy tale "Peter and the Wolf," represented by the clarinet in the orchestra.
-
E.
Candy Cat
Candy Cat is a friendly, orange feline character from the children's animated series "Peppa Pig," known for being one of Peppa's school friends.
- 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 Peach Triple: [Super Bell, grantsForm, Cat Peach]
Generated description
Cat Peach is a special feline-themed transformation of Princess Peach in the Super Mario series, giving her cat-like abilities such as climbing walls and scratching enemies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cat Peach Target entity description: Cat Peach is a special feline-themed transformation of Princess Peach in the Super Mario series, giving her cat-like abilities such as climbing walls and scratching enemies.
-
A.
Catz
Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
-
B.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
C.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
-
D.
the Cat
The Cat is a sly, cautious feline character in Sergei Prokofiev’s musical fairy tale "Peter and the Wolf," represented by the clarinet in the orchestra.
-
E.
Candy Cat
Candy Cat is a friendly, orange feline character from the children's animated series "Peppa Pig," known for being one of Peppa's school friends.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef1f83c8190bbf65eed162cbd55 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67994fbc819090f2da267888e8fb |
completed | May 9, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_69ff6810af4c8190aa6cae98a1b8b5ce |
completed | May 9, 2026, 5 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6888a85481909e8cdd34ed230fa4 |
completed | May 9, 2026, 5:02 p.m. |
Created at: April 10, 2026, 4:15 a.m.