Triple

T2892599
Position Surface form Disambiguated ID Type / Status
Subject Dirty Rotten Scoundrels E63861 entity
Predicate basedOn P98 FINISHED
Object Bedtime Story
"Bedtime Story" is a 1964 comedy film about two con men on the French Riviera, later famously remade as "Dirty Rotten Scoundrels."
E307578 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: Bedtime Story | Statement: [Dirty Rotten Scoundrels, basedOn, Bedtime Story]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bedtime Story
Context triple: [Dirty Rotten Scoundrels, basedOn, Bedtime Story]
  • A. Bedtime Stories
    Bedtime Stories is a 2008 family fantasy-comedy film starring Adam Sandler, in which a hotel handyman discovers that the bedtime tales he tells his niece and nephew start coming true in real life.
  • B. Bedtime
    "Bedtime" is a British television drama series best known for its intimate, character-driven stories set around the lives of neighbors in a suburban street at night.
  • C. Tuck You In
    Tuck You In is a song featured on the album "Evolver."
  • D. Goodnight Adeline
    Goodnight Adeline is a song featured on the album "Saviors" by Green Day.
  • E. Neighborhood of Make-Believe
    The Neighborhood of Make-Believe is a whimsical puppet-populated fantasy world visited in "Mister Rogers' Neighborhood," where stories, feelings, and life lessons are explored through imaginative play.
  • 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: Bedtime Story
Triple: [Dirty Rotten Scoundrels, basedOn, Bedtime Story]
Generated description
"Bedtime Story" is a 1964 comedy film about two con men on the French Riviera, later famously remade as "Dirty Rotten Scoundrels."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bedtime Story
Target entity description: "Bedtime Story" is a 1964 comedy film about two con men on the French Riviera, later famously remade as "Dirty Rotten Scoundrels."
  • A. Bedtime Stories
    Bedtime Stories is a 2008 family fantasy-comedy film starring Adam Sandler, in which a hotel handyman discovers that the bedtime tales he tells his niece and nephew start coming true in real life.
  • B. Bedtime
    "Bedtime" is a British television drama series best known for its intimate, character-driven stories set around the lives of neighbors in a suburban street at night.
  • C. Tuck You In
    Tuck You In is a song featured on the album "Evolver."
  • D. Goodnight Adeline
    Goodnight Adeline is a song featured on the album "Saviors" by Green Day.
  • E. Neighborhood of Make-Believe
    The Neighborhood of Make-Believe is a whimsical puppet-populated fantasy world visited in "Mister Rogers' Neighborhood," where stories, feelings, and life lessons are explored through imaginative play.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe062234c81909411e34db7d2683d completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0317e15248190bade0f0fd930581a completed March 10, 2026, 2:58 p.m.
NEDg Description generation batch_69b034b304f8819096eda16e314912b4 completed March 10, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69b03c60a5988190b015a1cf05068845 completed March 10, 2026, 3:44 p.m.
Created at: March 6, 2026, 10:07 p.m.