Triple
T19798280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robin Wagner |
E475600
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Crazy for You |
—
|
NE NERFINISHED |
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: Crazy for You | Statement: [Robin Wagner, notableWork, Crazy for You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crazy for You Context triple: [Robin Wagner, notableWork, Crazy for You]
-
A.
Crazy for You
chosen
Crazy for You is a Tony Award–winning Broadway musical comedy featuring the songs of George and Ira Gershwin, known for its energetic choreography and classic showbiz storyline.
-
B.
Crazy for You
"Crazy for You" is a pop song recorded by American actor and singer David Hasselhoff, known from his music career that gained particular popularity in parts of Europe.
-
C.
Broadway Rose
Broadway Rose is a silent-era film featuring Mae Murray, showcasing her as a glamorous star of early American cinema.
-
D.
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."
-
E.
Ziegfeld Girl
Ziegfeld Girl is a 1941 MGM musical drama film that follows the intertwined lives and romances of three women who become performers in the famed Ziegfeld Follies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c877288190b56ee7eedea710a3 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.