Triple

T18584172
Position Surface form Disambiguated ID Type / Status
Subject Hyrule Warriors E454195 entity
Predicate hasCharacter P2308 FINISHED
Object Lana
Lana is a cheerful, blue-haired sorceress and original playable character introduced in the game Hyrule Warriors.
E1331924 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: Lana | Statement: [Hyrule Warriors, hasCharacter, Lana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lana
Context triple: [Hyrule Warriors, hasCharacter, Lana]
  • A. Lana
    Lana is the seductive call girl who becomes the central love interest and catalyst for chaos in the 1983 film "Risky Business."
  • B. Lana
    Lana is the ISO 15924 four-letter code used to represent the Tai Tham script in international standards.
  • C. Lana
    Lana is a filmmaker best known as one of the Wachowski sisters, the co-creators of The Matrix film series.
  • D. Lana
    Lana is a river in Albania that flows through the capital city of Tirana before joining the Tirana River.
  • E. Lana
    Lana is a professional wrestler and television personality best known for her time in WWE, where she appeared prominently as a manager and in-ring performer.
  • 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: Lana
Triple: [Hyrule Warriors, hasCharacter, Lana]
Generated description
Lana is a cheerful, blue-haired sorceress and original playable character introduced in the game Hyrule Warriors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lana
Target entity description: Lana is a cheerful, blue-haired sorceress and original playable character introduced in the game Hyrule Warriors.
  • A. Lana
    Lana is a professional wrestler and television personality best known for her time in WWE, where she appeared prominently as a manager and in-ring performer.
  • B. Lana
    Lana is a filmmaker best known as one of the Wachowski sisters, the co-creators of The Matrix film series.
  • C. Lana
    Lana is the given name of actress Lana Condor, best known for starring in the "To All the Boys I've Loved Before" film series.
  • D. Lana
    Lana is the seductive call girl who becomes the central love interest and catalyst for chaos in the 1983 film "Risky Business."
  • E. Lana
    Lana is the ISO 15924 four-letter code used to represent the Tai Tham script in international standards.
  • 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_6a04f88f6870819085ebffc7c77e483f completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f9fc493881909ba9159748d4f3fb completed May 13, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_6a04fad8daa88190961d643d30a52aa7 completed May 13, 2026, 10:27 p.m.
Created at: April 10, 2026, 11:44 a.m.