Triple
T10632371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Grable |
E250488
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Call Me Mister |
E709349
|
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: Call Me Mister | Statement: [Betty Grable, notableWork, Call Me Mister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Call Me Mister Context triple: [Betty Grable, notableWork, Call Me Mister]
-
A.
Call Me Mister
chosen
Call Me Mister is a 1951 musical film featuring Dan Dailey as a performer entertaining U.S. troops in post-World War II Japan.
-
B.
Call Me
"Call Me" is a 1973 soul album by Al Green, widely regarded as one of his finest works and a classic of the genre.
-
C.
Call Me
"Call Me" is a 1980 new wave and rock song by Blondie that became one of the band’s biggest hits and a defining track of the era.
-
D.
Call the Man
"Call the Man" is a power ballad by Celine Dion, featured on her 1996 album *Falling into You*.
-
E.
Tell No One
Tell No One is a 2006 French thriller film, based on Harlan Coben’s novel, about a doctor who becomes entangled in a web of mystery and danger after receiving messages suggesting his murdered wife may still be alive.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df95f5e88190b34ce3ec972759ef |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bb4bbf08190994ea9123c0b2dab |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:02 p.m.