Triple
T13816720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Make 'Em Laugh |
E332038
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Make 'Em Laugh |
E332038
|
NE FINISHED |
How this triple was built (2 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: Make 'Em Laugh | Statement: [Make 'Em Laugh, title, Make 'Em Laugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make 'Em Laugh Context triple: [Make 'Em Laugh, title, Make 'Em Laugh]
-
A.
Make 'Em Laugh
chosen
"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.
Always Leave Them Laughing
Always Leave Them Laughing is a 1949 comedy film starring Milton Berle as an ambitious but unscrupulous nightclub comic.
-
C.
Cracking Up
Cracking Up is a short-lived early-2000s American television sitcom created by and starring Jason Schwartzman, known for its offbeat humor and dysfunctional family dynamics.
-
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.
Game for a Laugh
Game for a Laugh was a popular British television practical-joke and hidden-camera show that aired in the 1980s, known for its light-hearted stunts and audience participation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0281bb988190803ee195f430b9c8 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8e1fbec8190bab64357f8c5438f |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:12 p.m.