Triple
T18584175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyrule Warriors |
E454195
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Ruto
Ruto is the Zora princess from The Legend of Zelda series, known for her role in Ocarina of Time and as a playable warrior in crossover titles.
|
E1334598
|
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: Ruto | Statement: [Hyrule Warriors, hasCharacter, Ruto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruto Context triple: [Hyrule Warriors, hasCharacter, Ruto]
-
A.
William Ruto
William Ruto is a Kenyan politician who serves as the country’s president and has long been a prominent figure in its national politics.
-
B.
Raila
Raila is a prominent Kenyan politician and longtime opposition leader who has played a major role in the country’s democratic reforms.
-
C.
Nick Ruto
Nick Ruto is a Kenyan lawyer and public figure best known as the son of Kenyan President William Ruto.
-
D.
Rachel Ruto
Rachel Ruto is the First Lady of Kenya and a prominent advocate for women's empowerment, financial inclusion, and community development initiatives.
-
E.
Maurice Omondi Odumbe
Maurice Omondi Odumbe is a former Kenyan cricketer best known as an all-rounder who captained the national team and played a key role in Kenya’s rise in international cricket in the 1990s and early 2000s.
- 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: Ruto Triple: [Hyrule Warriors, hasCharacter, Ruto]
Generated description
Ruto is the Zora princess from The Legend of Zelda series, known for her role in Ocarina of Time and as a playable warrior in crossover titles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruto Target entity description: Ruto is the Zora princess from The Legend of Zelda series, known for her role in Ocarina of Time and as a playable warrior in crossover titles.
-
A.
William Ruto
William Ruto is a Kenyan politician who serves as the country’s president and has long been a prominent figure in its national politics.
-
B.
Raila
Raila is a prominent Kenyan politician and longtime opposition leader who has played a major role in the country’s democratic reforms.
-
C.
Nick Ruto
Nick Ruto is a Kenyan lawyer and public figure best known as the son of Kenyan President William Ruto.
-
D.
Rachel Ruto
Rachel Ruto is the First Lady of Kenya and a prominent advocate for women's empowerment, financial inclusion, and community development initiatives.
-
E.
Maurice Omondi Odumbe
Maurice Omondi Odumbe is a former Kenyan cricketer best known as an all-rounder who captained the national team and played a key role in Kenya’s rise in international cricket in the 1990s and early 2000s.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543d200dc8190b8797d731f4e4865 |
completed | April 19, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d6a9298819094838f7faba59daa |
completed | May 13, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_6a050f17fab48190a5b0a8d489a5ac13 |
completed | May 13, 2026, 11:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050f8116008190a06be25a9c47ca8c |
completed | May 13, 2026, 11:55 p.m. |
Created at: April 10, 2026, 11:44 a.m.