Triple

T15437053
Position Surface form Disambiguated ID Type / Status
Subject It Could Happen to You E369790 entity
Predicate alternateTitle P39 FINISHED
Object Cop Gives Waitress $2 Million Tip (working title)
Cop Gives Waitress $2 Million Tip (working title) is the original working title for the 1994 romantic comedy-drama film "It Could Happen to You," about a New York cop who shares his lottery winnings with a waitress.
E1158397 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: Cop Gives Waitress $2 Million Tip (working title) | Statement: [It Could Happen to You, alternateTitle, Cop Gives Waitress $2 Million Tip (working title)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cop Gives Waitress $2 Million Tip (working title)
Context triple: [It Could Happen to You, alternateTitle, Cop Gives Waitress $2 Million Tip (working title)]
  • A. The Up-to-Date Waitress
    The Up-to-Date Waitress is an early 20th-century guidebook by culinary author Janet McKenzie Hill that offers practical instruction and etiquette advice for professional waitresses and household service.
  • B. the Waitress
    The Waitress is a recurring character on the TV show "It's Always Sunny in Philadelphia," known as the object of Charlie Kelly's obsessive, unrequited affection and for her cynical, beleaguered demeanor.
  • C. What’s Inside: Songs from Waitress
    What’s Inside: Songs from Waitress is a studio album by Sara Bareilles featuring her interpretations of songs from the Broadway musical "Waitress," for which she wrote the music and lyrics.
  • D. Waitress (musical)
    Waitress (musical) is a Broadway stage adaptation of the 2007 film of the same name, featuring a pop-infused score by Sara Bareilles and telling the story of a small-town pie maker seeking a fresh start from her troubled marriage.
  • E. Waitress
    Waitress is a production-quality pure-Python WSGI server commonly used to deploy Python web applications.
  • 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: Cop Gives Waitress $2 Million Tip (working title)
Triple: [It Could Happen to You, alternateTitle, Cop Gives Waitress $2 Million Tip (working title)]
Generated description
Cop Gives Waitress $2 Million Tip (working title) is the original working title for the 1994 romantic comedy-drama film "It Could Happen to You," about a New York cop who shares his lottery winnings with a waitress.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cop Gives Waitress $2 Million Tip (working title)
Target entity description: Cop Gives Waitress $2 Million Tip (working title) is the original working title for the 1994 romantic comedy-drama film "It Could Happen to You," about a New York cop who shares his lottery winnings with a waitress.
  • A. The Up-to-Date Waitress
    The Up-to-Date Waitress is an early 20th-century guidebook by culinary author Janet McKenzie Hill that offers practical instruction and etiquette advice for professional waitresses and household service.
  • B. the Waitress
    The Waitress is a recurring character on the TV show "It's Always Sunny in Philadelphia," known as the object of Charlie Kelly's obsessive, unrequited affection and for her cynical, beleaguered demeanor.
  • C. What’s Inside: Songs from Waitress
    What’s Inside: Songs from Waitress is a studio album by Sara Bareilles featuring her interpretations of songs from the Broadway musical "Waitress," for which she wrote the music and lyrics.
  • D. Waitress (musical)
    Waitress (musical) is a Broadway stage adaptation of the 2007 film of the same name, featuring a pop-infused score by Sara Bareilles and telling the story of a small-town pie maker seeking a fresh start from her troubled marriage.
  • E. Waitress
    Waitress is a production-quality pure-Python WSGI server commonly used to deploy Python web applications.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edca064819081510bf303271062 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a5e55c81909801db54032589ac completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff22d425dc8190955f9f6edc952d9c completed May 9, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff26ef82b8819084f77c6f0aadb8e7 completed May 9, 2026, 12:22 p.m.
Created at: April 10, 2026, 3:21 a.m.