Triple
T22171894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Call Me Madam |
E547938
|
entity |
| Predicate | adaptedAs |
P1926
|
FINISHED |
| Object | 1953 film Call Me Madam |
—
|
NE NERFINISHED |
How this triple was built (3 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: 1953 film Call Me Madam | Statement: [Call Me Madam, adaptedAs, 1953 film Call Me Madam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 1953 film Call Me Madam Context triple: [Call Me Madam, adaptedAs, 1953 film Call Me Madam]
-
A.
Mack & Mabel
Mack & Mabel is a 1974 Broadway musical by Jerry Herman that dramatizes the turbulent relationship between silent film director Mack Sennett and his star Mabel Normand.
-
B.
The Band Wagon
The Band Wagon is a classic 1953 MGM musical film starring Fred Astaire, celebrated for its sophisticated song-and-dance numbers and backstage showbiz storyline.
-
C.
Song and Dance
Song and Dance is a two-act musical by Andrew Lloyd Webber that uniquely combines a song cycle with a dance-based narrative.
-
D.
Top Hat
Top Hat is a 1935 Hollywood musical film starring Fred Astaire and Ginger Rogers, renowned for its elegant dance sequences, Irving Berlin songs, and status as a classic of the genre.
-
E.
Can-Can
Can-Can is a 1953 Broadway musical by Cole Porter, best known for its lively Parisian setting and memorable score featuring songs like "I Love Paris."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 1953 film Call Me Madam Target entity description: The 1953 film "Call Me Madam" is a Technicolor musical comedy starring Ethel Merman as a brash Washington socialite appointed ambassador to a fictional European country, based on the hit Broadway musical of the same name.
-
A.
Mack & Mabel
Mack & Mabel is a 1974 Broadway musical by Jerry Herman that dramatizes the turbulent relationship between silent film director Mack Sennett and his star Mabel Normand.
-
B.
The Band Wagon
The Band Wagon is a classic 1953 MGM musical film starring Fred Astaire, celebrated for its sophisticated song-and-dance numbers and backstage showbiz storyline.
-
C.
Song and Dance
Song and Dance is a two-act musical by Andrew Lloyd Webber that uniquely combines a song cycle with a dance-based narrative.
-
D.
Top Hat
Top Hat is a 1935 Hollywood musical film starring Fred Astaire and Ginger Rogers, renowned for its elegant dance sequences, Irving Berlin songs, and status as a classic of the genre.
-
E.
Can-Can
Can-Can is a 1953 Broadway musical by Cole Porter, best known for its lively Parisian setting and memorable score featuring songs like "I Love Paris."
- F. None of above. chosen
Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a68c26c8190b1258595bd96cb63 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.