Triple

T5404484
Position Surface form Disambiguated ID Type / Status
Subject Carowinds E120857 entity
Predicate hasRollerCoaster P23566 FINISHED
Object Hurler
Hurler is a wooden roller coaster at the Carowinds amusement park known for its high-speed, rough-and-tumble ride experience.
 E517814 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: Hurler | Statement: [Carowinds, hasRollerCoaster, Hurler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hurler
Context triple: [Carowinds, hasRollerCoaster, Hurler]
  • A. Joubert
    Joubert is a French-origin surname common in South Africa and other countries, borne by various notable figures in politics, sports, and the arts.
  • B. Hipple
    Hipple is the birth surname of American film and television actor Hugh Marlowe.
  • C. Ehlers
    Ehlers is a German surname, likely of North German or Danish origin, that shares an etymological root with the name Ehle.
  • D. Heydler
    Heydler is a surname most notably associated with John Heydler, an early 20th-century president of the National League in Major League Baseball.
  • E. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • 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: Hurler
Triple: [Carowinds, hasRollerCoaster, Hurler]
Generated description
Hurler is a wooden roller coaster at the Carowinds amusement park known for its high-speed, rough-and-tumble ride experience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hurler
Target entity description: Hurler is a wooden roller coaster at the Carowinds amusement park known for its high-speed, rough-and-tumble ride experience.
  • A. Joubert
    Joubert is a French-origin surname common in South Africa and other countries, borne by various notable figures in politics, sports, and the arts.
  • B. Hipple
    Hipple is the birth surname of American film and television actor Hugh Marlowe.
  • C. Ehlers
    Ehlers is a German surname, likely of North German or Danish origin, that shares an etymological root with the name Ehle.
  • D. Heydler
    Heydler is a surname most notably associated with John Heydler, an early 20th-century president of the National League in Major League Baseball.
  • E. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8774cd8881909b3437ba02018444 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf339037b4819084423826b7252002 completed March 22, 2026, 12:10 a.m.
NEDg Description generation batch_69bf34fccbd88190a8e32ccaa86b72e8 completed March 22, 2026, 12:17 a.m.
NED2 Entity disambiguation (via description) batch_69bf35570404819090e553b7921c4cb8 completed March 22, 2026, 12:18 a.m.
Created at: March 20, 2026, 2:05 p.m.