Triple

T10737563
Position Surface form Disambiguated ID Type / Status
Subject Chalet Girl E253231 entity
Predicate hasCharacter P2308 FINISHED
Object Caroline
Caroline is a supporting character in the romantic comedy film "Chalet Girl," involved in the story’s ski-resort social circle and romantic entanglements.
E883708 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: Caroline | Statement: [Chalet Girl, hasCharacter, Caroline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline
Context triple: [Chalet Girl, hasCharacter, Caroline]
  • A. Caroline
    Caroline was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
  • B. Caroline
    Caroline is a feminine given name of French and Latin origin, commonly used in English-speaking and European countries.
  • C. Caroline
    "Caroline" is a breakout hip-hop single by American rapper Aminé, known for its catchy hook and playful storytelling.
  • D. Caroline
    Caroline is a rural town in Tompkins County, New York, known for its small communities, scenic landscapes, and proximity to the city of Ithaca.
  • E. Caroline
    Caroline of Ansbach was an 18th-century Queen consort of Great Britain and Ireland as the wife of King George II, noted for her political influence and patronage of the arts and sciences.
  • 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: Caroline
Triple: [Chalet Girl, hasCharacter, Caroline]
Generated description
Caroline is a supporting character in the romantic comedy film "Chalet Girl," involved in the story’s ski-resort social circle and romantic entanglements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Caroline
Target entity description: Caroline is a supporting character in the romantic comedy film "Chalet Girl," involved in the story’s ski-resort social circle and romantic entanglements.
  • A. Caroline
    Caroline is a feminine given name of French and Latin origin, commonly used in English-speaking and European countries.
  • B. Caroline
    Caroline is the given name of Lady Caroline Spencer-Churchill, a British aristocrat from the prominent Spencer-Churchill family.
  • C. Caroline
    Caroline is a rural town in Tompkins County, New York, known for its small communities, scenic landscapes, and proximity to the city of Ithaca.
  • D. Caroline
    Caroline von Humboldt was a German salonnière, art patron, and intellectual known for her influential role in Berlin’s cultural and scholarly life in the early 19th century.
  • E. Caroline
    "Caroline" is a breakout hip-hop single by American rapper Aminé, known for its catchy hook and playful storytelling.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710410a04819090036597ac0d271c completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22dce1cc8190a3511d86e8bd6d3e completed April 14, 2026, 11:19 a.m.
NEDg Description generation batch_69de271e2698819093bba748a0a0db5d completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cdd79608190bad8045939556bc7 completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:14 p.m.