Triple
T18634618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Gigolo |
E455510
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Call Me |
—
|
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: Call Me | Statement: [American Gigolo, featuresSong, Call Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Call Me Context triple: [American Gigolo, featuresSong, Call Me]
-
A.
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.
-
B.
Call Me
chosen
"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.
-
C.
Call Me
"Call Me" is a popular song written by British composer Tony Hatch, best known for its catchy melody and success in the 1960s pop music scene.
-
D.
Call Me
"Call Me" is a hip-hop track by Brooklyn rapper Joell Ortiz that showcases his introspective lyricism and storytelling over a soulful, boom-bap–influenced beat.
-
E.
Never Call Me
"Never Call Me" is a song by Japanese-American singer-songwriter Jhené Aiko, known for its introspective lyrics and smooth R&B production.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc80b308190932303231524d372 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.