Triple

T11769351
Position Surface form Disambiguated ID Type / Status
Subject Gregory La Cava E279856 entity
Predicate notableWork P4 FINISHED
Object Laugh and Get Rich
Laugh and Get Rich is a 1931 American pre-Code comedy film directed by Gregory La Cava.
E945667 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: Laugh and Get Rich | Statement: [Gregory La Cava, notableWork, Laugh and Get Rich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laugh and Get Rich
Context triple: [Gregory La Cava, notableWork, Laugh and Get Rich]
  • A. Make 'Em Laugh
    "Make 'Em Laugh" is a high-energy comic musical number from the film "Singin' in the Rain," famous for Donald O'Connor's acrobatic slapstick performance.
  • B. You’ll Never Get Rich
    "You’ll Never Get Rich" is a 1941 musical comedy film starring Rita Hayworth and Fred Astaire, known for its dance numbers and wartime romance storyline.
  • C. Always Leave Them Laughing
    Always Leave Them Laughing is a 1949 comedy film starring Milton Berle as an ambitious but unscrupulous nightclub comic.
  • D. Who’s Laughing Now
    "Who’s Laughing Now" is a pop song by English singer Jessie J that addresses bullying and empowerment through its defiant, self-affirming lyrics.
  • E. Runnin’ Rich
    Runnin’ Rich is a music project by Chicago rapper Valee that showcases his laid-back flow, off-kilter rhythms, and minimalist trap production.
  • 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: Laugh and Get Rich
Triple: [Gregory La Cava, notableWork, Laugh and Get Rich]
Generated description
Laugh and Get Rich is a 1931 American pre-Code comedy film directed by Gregory La Cava.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laugh and Get Rich
Target entity description: Laugh and Get Rich is a 1931 American pre-Code comedy film directed by Gregory La Cava.
  • A. Make 'Em Laugh
    "Make 'Em Laugh" is a high-energy comic musical number from the film "Singin' in the Rain," famous for Donald O'Connor's acrobatic slapstick performance.
  • B. You’ll Never Get Rich
    "You’ll Never Get Rich" is a 1941 musical comedy film starring Rita Hayworth and Fred Astaire, known for its dance numbers and wartime romance storyline.
  • C. Always Leave Them Laughing
    Always Leave Them Laughing is a 1949 comedy film starring Milton Berle as an ambitious but unscrupulous nightclub comic.
  • D. Who’s Laughing Now
    "Who’s Laughing Now" is a pop song by English singer Jessie J that addresses bullying and empowerment through its defiant, self-affirming lyrics.
  • E. Runnin’ Rich
    Runnin’ Rich is a music project by Chicago rapper Valee that showcases his laid-back flow, off-kilter rhythms, and minimalist trap production.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55c9f988190b203b66a28c767ae completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09075aba8819082434a43473025bd completed April 28, 2026, 10:48 a.m.
NEDg Description generation batch_69f0bd3cf8308190813003daa8cfba4a completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef02c930819086d139834ad4ed84 completed April 28, 2026, 5:31 p.m.
Created at: April 8, 2026, 9:41 p.m.