Triple

T7644182
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Arendelle E173079 entity
Predicate hasResident P6481 FINISHED
Object Oaken
Oaken is a friendly shopkeeper and sauna owner from Disney's Frozen franchise, known for his cheerful demeanor and memorable "Yoo-hoo!" greeting.
E677927 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: Oaken | Statement: [Kingdom of Arendelle, hasResident, Oaken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oaken
Context triple: [Kingdom of Arendelle, hasResident, Oaken]
  • A. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • B. Threepwood
    Threepwood is the aristocratic family name of the eccentric Blandings Castle clan in P. G. Wodehouse’s comic novels.
  • C. Tanne
    Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
  • D. Norsey Wood
    Norsey Wood is an ancient woodland and designated Local Nature Reserve near Billericay in Essex, known for its rich biodiversity and archaeological features.
  • E. The Oak
    The Oak is a critically acclaimed Romanian drama film directed by Lucian Pintilie, known for its stark portrayal of post-communist Romanian society.
  • 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: Oaken
Triple: [Kingdom of Arendelle, hasResident, Oaken]
Generated description
Oaken is a friendly shopkeeper and sauna owner from Disney's Frozen franchise, known for his cheerful demeanor and memorable "Yoo-hoo!" greeting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oaken
Target entity description: Oaken is a friendly shopkeeper and sauna owner from Disney's Frozen franchise, known for his cheerful demeanor and memorable "Yoo-hoo!" greeting.
  • A. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • B. Threepwood
    Threepwood is the aristocratic family name of the eccentric Blandings Castle clan in P. G. Wodehouse’s comic novels.
  • C. Tanne
    Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
  • D. Norsey Wood
    Norsey Wood is an ancient woodland and designated Local Nature Reserve near Billericay in Essex, known for its rich biodiversity and archaeological features.
  • E. The Oak
    The Oak is a critically acclaimed Romanian drama film directed by Lucian Pintilie, known for its stark portrayal of post-communist Romanian society.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faf13858819095262664e1e04eb7 completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870d510f08190ad7706f582e8c1a0 completed March 29, 2026, 12:22 a.m.
NEDg Description generation batch_69c87328c2cc81908b9fb89f5fee062e completed March 29, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69c873846a188190a3a1cc56ac247fb0 completed March 29, 2026, 12:34 a.m.
Created at: March 27, 2026, 3:58 p.m.