Triple
T14253464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go Jetters |
E353326
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Kyan
Kyan is one of the main Go Jetters characters, known as the energetic, sporty team member who helps explore famous landmarks around the world.
|
E1089671
|
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: Kyan | Statement: [Go Jetters, featuresCharacter, Kyan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyan Context triple: [Go Jetters, featuresCharacter, Kyan]
-
A.
Kaiya
Kaiya is a feminine given name used in various cultures, often associated with meanings related to the sea, forgiveness, or purity.
-
B.
Kiana
Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
-
C.
Kaiu
Kaiu is the personal name (nomen) of the ancient Egyptian pharaoh Menkauhor Kaiu of the Fifth Dynasty.
-
D.
Kayo
Kayo is a contributor to the Tender Lover project, likely involved in its creative or developmental work.
-
E.
Kiya
Kiya was a lesser-known wife of the Egyptian pharaoh Akhenaten, often associated with the Amarna period and subject to scholarly debate regarding her origins and role at court.
- 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: Kyan Triple: [Go Jetters, featuresCharacter, Kyan]
Generated description
Kyan is one of the main Go Jetters characters, known as the energetic, sporty team member who helps explore famous landmarks around the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kyan Target entity description: Kyan is one of the main Go Jetters characters, known as the energetic, sporty team member who helps explore famous landmarks around the world.
-
A.
Kaiya
Kaiya is a feminine given name used in various cultures, often associated with meanings related to the sea, forgiveness, or purity.
-
B.
Kiana
Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
-
C.
Kaiu
Kaiu is the personal name (nomen) of the ancient Egyptian pharaoh Menkauhor Kaiu of the Fifth Dynasty.
-
D.
Kayo
Kayo is a contributor to the Tender Lover project, likely involved in its creative or developmental work.
-
E.
Kiya
Kiya was a lesser-known wife of the Egyptian pharaoh Akhenaten, often associated with the Amarna period and subject to scholarly debate regarding her origins and role at court.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6297f38c819090d7c7fd8bfa2e9e |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd325c98288190ba035fb5cc5bcf6b |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd33cba18481908f2dfe358017f11b |
completed | May 8, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd346ffb9c81909ec28e514ea5451b |
completed | May 8, 2026, 12:55 a.m. |
Created at: April 10, 2026, 1:09 a.m.