Triple

T21536055
Position Surface form Disambiguated ID Type / Status
Subject House of Wax E531351 entity
Predicate character P662 FINISHED
Object Sue Allen
Sue Allen is a central female character in the 1953 horror film "House of Wax," portrayed as a young woman who becomes entangled in the sinister mysteries surrounding a macabre wax museum.
E1488580 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: Sue Allen | Statement: [House of Wax, character, Sue Allen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sue Allen
Context triple: [House of Wax, character, Sue Allen]
  • A. Sue Kaufman
    Sue Kaufman was an American novelist best known for her sharp, darkly comic portrayals of middle-class women's inner lives in mid-20th-century society.
  • B. Sue Brown
    Sue Brown is a spirited and charming young woman in P. G. Wodehouse’s Blandings Castle stories, notably involved in romantic and comedic entanglements.
  • C. Sue Bierman
    Sue Bierman was a San Francisco civic leader and activist known for her work in urban planning, transportation reform, and neighborhood preservation.
  • D. Sue Roberts
    Sue Roberts is best known as the wife of British poet laureate Simon Armitage.
  • E. Suzanne Goldberg
    Suzanne Goldberg is a prominent civil rights lawyer and legal scholar known for her work on free speech and equality issues in the United States.
  • 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: Sue Allen
Triple: [House of Wax, character, Sue Allen]
Generated description
Sue Allen is a central female character in the 1953 horror film "House of Wax," portrayed as a young woman who becomes entangled in the sinister mysteries surrounding a macabre wax museum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sue Allen
Target entity description: Sue Allen is a central female character in the 1953 horror film "House of Wax," portrayed as a young woman who becomes entangled in the sinister mysteries surrounding a macabre wax museum.
  • A. Sue Kaufman
    Sue Kaufman was an American novelist best known for her sharp, darkly comic portrayals of middle-class women's inner lives in mid-20th-century society.
  • B. Sue Brown
    Sue Brown is a spirited and charming young woman in P. G. Wodehouse’s Blandings Castle stories, notably involved in romantic and comedic entanglements.
  • C. Sue Bierman
    Sue Bierman was a San Francisco civic leader and activist known for her work in urban planning, transportation reform, and neighborhood preservation.
  • D. Sue Roberts
    Sue Roberts is best known as the wife of British poet laureate Simon Armitage.
  • E. Suzanne Goldberg
    Suzanne Goldberg is a prominent civil rights lawyer and legal scholar known for her work on free speech and equality issues in the United States.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0ce8d08190b3233d7117a9b1ca completed April 26, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e8339c04819092968f7a7baba3f8 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e918bc80819093a8939e0eabf06f completed May 17, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_6a09e98b27ec8190bacd93a48e4d5467 completed May 17, 2026, 4:15 p.m.
Created at: April 16, 2026, 6:27 p.m.