Triple
T15470020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paper Mario: Sticker Star |
E372133
|
entity |
| Predicate | supportingCharacter |
P7748
|
FINISHED |
| Object |
Kersti
Kersti is a spirited sticker fairy who serves as Mario’s main companion and guide throughout the adventure in Paper Mario: Sticker Star.
|
E1159778
|
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: Kersti | Statement: [Paper Mario: Sticker Star, supportingCharacter, Kersti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kersti Context triple: [Paper Mario: Sticker Star, supportingCharacter, Kersti]
-
A.
Kerstin
Kerstin is a feminine given name of Scandinavian origin, particularly common in Sweden and other Nordic countries.
-
B.
Kristina
Kristina is a feminine given name commonly used in various European countries, often considered a variant of Christina.
-
C.
Katrin
Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
-
D.
Keratsa-Maria
Keratsa-Maria was a 14th-century Bulgarian princess of the Second Bulgarian Empire, known as the daughter of Tsar Ivan Alexander and sister of Tsar Ivan Sratsimir.
-
E.
Ylva
Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
- 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: Kersti Triple: [Paper Mario: Sticker Star, supportingCharacter, Kersti]
Generated description
Kersti is a spirited sticker fairy who serves as Mario’s main companion and guide throughout the adventure in Paper Mario: Sticker Star.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kersti Target entity description: Kersti is a spirited sticker fairy who serves as Mario’s main companion and guide throughout the adventure in Paper Mario: Sticker Star.
-
A.
Kerstin
Kerstin is a feminine given name of Scandinavian origin, particularly common in Sweden and other Nordic countries.
-
B.
Kristina
Kristina is a feminine given name commonly used in various European countries, often considered a variant of Christina.
-
C.
Katrin
Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
-
D.
Keratsa-Maria
Keratsa-Maria was a 14th-century Bulgarian princess of the Second Bulgarian Empire, known as the daughter of Tsar Ivan Alexander and sister of Tsar Ivan Sratsimir.
-
E.
Ylva
Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6b49788190b270fdfe92646842 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0543f881909dfbbc77f2a96a1a |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff2e7bf8c881909fecb6cf86bc32f2 |
completed | May 9, 2026, 12:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff331c267c8190bbc26ddd47273be7 |
completed | May 9, 2026, 1:14 p.m. |
Created at: April 10, 2026, 3:33 a.m.