Triple

T8766550
Position Surface form Disambiguated ID Type / Status
Subject Jack and Jill E208351 entity
Predicate award P107 FINISHED
Object Golden Raspberry Award for Worst Screen Couple
The Golden Raspberry Award for Worst Screen Couple is a satirical film award dishonoring what voters deem the most painfully mismatched or poorly performing on-screen pair in a given year.
E767653 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: Golden Raspberry Award for Worst Screen Couple | Statement: [Jack and Jill, award, Golden Raspberry Award for Worst Screen Couple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Raspberry Award for Worst Screen Couple
Context triple: [Jack and Jill, award, Golden Raspberry Award for Worst Screen Couple]
  • A. Golden Raspberry Award for Worst Screen Ensemble
    The Golden Raspberry Award for Worst Screen Ensemble is a satirical film award dishonoring what voters deem the most poorly performing or mismatched group of actors in a given year.
  • B. Golden Raspberry Award for Worst Picture
    The Golden Raspberry Award for Worst Picture is a satirical film industry prize given annually to what voters consider the poorest-quality feature film of the year.
  • C. Golden Raspberry Award for Worst Actress
    The Golden Raspberry Award for Worst Actress is a satirical film award given annually to recognize what voters consider the poorest performance by a lead actress in a given year.
  • D. Golden Raspberry Award for Worst Actor
    The Golden Raspberry Award for Worst Actor is a satirical film award presented annually to recognize what voters consider the poorest performance by a male lead in a given year.
  • E. Golden Raspberry Award for Worst Supporting Actor
    The Golden Raspberry Award for Worst Supporting Actor is a satirical film award presented annually to dishonor what voters consider the poorest supporting male acting performance in a given year.
  • 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: Golden Raspberry Award for Worst Screen Couple
Triple: [Jack and Jill, award, Golden Raspberry Award for Worst Screen Couple]
Generated description
The Golden Raspberry Award for Worst Screen Couple is a satirical film award dishonoring what voters deem the most painfully mismatched or poorly performing on-screen pair in a given year.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Golden Raspberry Award for Worst Screen Couple
Target entity description: The Golden Raspberry Award for Worst Screen Couple is a satirical film award dishonoring what voters deem the most painfully mismatched or poorly performing on-screen pair in a given year.
  • A. Golden Raspberry Award for Worst Screen Ensemble
    The Golden Raspberry Award for Worst Screen Ensemble is a satirical film award dishonoring what voters deem the most poorly performing or mismatched group of actors in a given year.
  • B. Golden Raspberry Award for Worst Picture
    The Golden Raspberry Award for Worst Picture is a satirical film industry prize given annually to what voters consider the poorest-quality feature film of the year.
  • C. Golden Raspberry Award for Worst Actress
    The Golden Raspberry Award for Worst Actress is a satirical film award given annually to recognize what voters consider the poorest performance by a lead actress in a given year.
  • D. Golden Raspberry Award for Worst Actor
    The Golden Raspberry Award for Worst Actor is a satirical film award presented annually to recognize what voters consider the poorest performance by a male lead in a given year.
  • E. Golden Raspberry Award for Worst Supporting Actor
    The Golden Raspberry Award for Worst Supporting Actor is a satirical film award presented annually to dishonor what voters consider the poorest supporting male acting performance in a given year.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ee97fd0819087ef8fe14b37ae43 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1bbf6b881909bc154caa2fcadbe completed April 3, 2026, 1:33 p.m.
NEDg Description generation batch_69cfc26e039881909f623ba5b1b7f7e1 completed April 3, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69cfc350afc08190a17c61041d6d8193 completed April 3, 2026, 1:40 p.m.
Created at: March 30, 2026, 6:41 p.m.