Triple

T18912793
Position Surface form Disambiguated ID Type / Status
Subject The Legend of Zelda: Skyward Sword E462647 entity
Predicate featuresCharacter P626 FINISHED
Object Groose
Groose is a brash yet ultimately good-hearted student from Skyloft in The Legend of Zelda: Skyward Sword, known for his comic relief, character growth, and distinctive pompadour hairstyle.
E1349064 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: Groose | Statement: [The Legend of Zelda: Skyward Sword, featuresCharacter, Groose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groose
Context triple: [The Legend of Zelda: Skyward Sword, featuresCharacter, Groose]
  • A. Broglien
    A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
  • B. Gorst
    Gorst is a small unincorporated community in Kitsap County, Washington, located at the head of Sinclair Inlet near Bremerton.
  • C. Gorron
    Gorron is a small commune in northwestern France, situated in the Mayenne department of the Pays de la Loire region.
  • D. Gorell
    Gorell is the middle name of Arthur John Robin Gorell Milner, a British computer scientist known for his work in process calculi and concurrency theory.
  • E. Arvegil
    Arvegil is a fictional Dúnedain king of Arnor in J.R.R. Tolkien’s legendarium, descended from Isildur.
  • 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: Groose
Triple: [The Legend of Zelda: Skyward Sword, featuresCharacter, Groose]
Generated description
Groose is a brash yet ultimately good-hearted student from Skyloft in The Legend of Zelda: Skyward Sword, known for his comic relief, character growth, and distinctive pompadour hairstyle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Groose
Target entity description: Groose is a brash yet ultimately good-hearted student from Skyloft in The Legend of Zelda: Skyward Sword, known for his comic relief, character growth, and distinctive pompadour hairstyle.
  • A. Broglien
    A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
  • B. Gorst
    Gorst is a small unincorporated community in Kitsap County, Washington, located at the head of Sinclair Inlet near Bremerton.
  • C. Gorron
    Gorron is a small commune in northwestern France, situated in the Mayenne department of the Pays de la Loire region.
  • D. Gorell
    Gorell is the middle name of Arthur John Robin Gorell Milner, a British computer scientist known for his work in process calculi and concurrency theory.
  • E. Arvegil
    Arvegil is a fictional Dúnedain king of Arnor in J.R.R. Tolkien’s legendarium, descended from Isildur.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c624516c81909e6bf04707d3c71c completed April 20, 2026, 6:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0591128abc8190bf8c1be19bf701a9 completed May 14, 2026, 9:08 a.m.
NEDg Description generation batch_6a0592ba34a08190af60cd441d0c80a2 completed May 14, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_6a05931832d8819086a176c1f9473943 completed May 14, 2026, 9:17 a.m.
Created at: April 10, 2026, 11:58 a.m.