Triple

T285642
Position Surface form Disambiguated ID Type / Status
Subject Santa Claus E5879 entity
Predicate notableReindeer P22 FINISHED
Object Prancer
Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
E37296 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: Prancer | Statement: [Santa Claus, notableReindeer, Prancer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prancer
Context triple: [Santa Claus, notableReindeer, Prancer]
  • A. Jonathan the Husky
    Jonathan the Husky is the costumed canine mascot representing the University of Connecticut and its athletic teams, including the renowned women’s basketball program.
  • B. Barkley
    Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
  • C. Terry (dog)
    Terry was the female Cairn Terrier best known for playing Toto in the 1939 film adaptation of "The Wizard of Oz."
  • D. Kestrel
    Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
  • E. Polly
    Polly is a ballad opera by John Gay, written as a sequel to his famous work "The Beggar's Opera" and noted for its satirical treatment of colonialism and morality.
  • 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: Prancer
Triple: [Santa Claus, notableReindeer, Prancer]
Generated description
Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prancer
Target entity description: Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
  • A. Jonathan the Husky
    Jonathan the Husky is the costumed canine mascot representing the University of Connecticut and its athletic teams, including the renowned women’s basketball program.
  • B. Barkley
    Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
  • C. Terry (dog)
    Terry was the female Cairn Terrier best known for playing Toto in the 1939 film adaptation of "The Wizard of Oz."
  • D. Kestrel
    Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
  • E. Polly
    Polly is a ballad opera by John Gay, written as a sequel to his famous work "The Beggar's Opera" and noted for its satirical treatment of colonialism and morality.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a260d21e5881909f3baba8b8dfff92 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a39d078ad88190b4fce535c8ea9a80 completed March 1, 2026, 1:57 a.m.
NEDg Description generation batch_69a39e93efc48190a1fa60d04ee7e85f completed March 1, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a39f38af0481908f0a3bfeda680065 completed March 1, 2026, 2:06 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.