Triple

T10812155
Position Surface form Disambiguated ID Type / Status
Subject Cabin in the Sky E255127 entity
Predicate featuresCharacter P626 FINISHED
Object Georgia Brown
Georgia Brown is a character from the 1943 musical film "Cabin in the Sky," known as a seductive temptress who complicates the protagonist's struggle between virtue and vice.
 E890854 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: Georgia Brown | Statement: [Cabin in the Sky, featuresCharacter, Georgia Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Georgia Brown
Context triple: [Cabin in the Sky, featuresCharacter, Georgia Brown]
  • A. Georgia Brown
    Georgia Brown is the child of American filmmaker Noah Baumbach.
  • B. Georgia Brown
    Georgia Brown was a British singer and actress best known for originating the role of Nancy in the London production of the musical "Oliver!".
  • C. Charlotte Brown
    Charlotte Brown was the wife of American politician and former U.S. Secretary of War George Dern.
  • D. Beth Brown
    Beth Brown is a screenwriter known for her work on the film "Applause."
  • E. Emmy Brown
    Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
  • 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: Georgia Brown
Triple: [Cabin in the Sky, featuresCharacter, Georgia Brown]
Generated description
Georgia Brown is a character from the 1943 musical film "Cabin in the Sky," known as a seductive temptress who complicates the protagonist's struggle between virtue and vice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Georgia Brown
Target entity description: Georgia Brown is a character from the 1943 musical film "Cabin in the Sky," known as a seductive temptress who complicates the protagonist's struggle between virtue and vice.
  • A. Georgia Brown
    Georgia Brown is the child of American filmmaker Noah Baumbach.
  • B. Georgia Brown
    Georgia Brown was a British singer and actress best known for originating the role of Nancy in the London production of the musical "Oliver!".
  • C. Charlotte Brown
    Charlotte Brown was the wife of American politician and former U.S. Secretary of War George Dern.
  • D. Beth Brown
    Beth Brown is a screenwriter known for her work on the film "Applause."
  • E. Emmy Brown
    Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eadda48190b2b1183ee60102cb completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7c0907c8190b092bb6754fe4e52 completed April 15, 2026, 8:40 p.m.
NEDg Description generation batch_69e0026e7900819087327db5f625169c completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e0057a7704819096becb74dc261883 completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:18 p.m.