Triple
T18166824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Careless Whisper |
E434915
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Make It Big |
—
|
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: Make It Big | Statement: [Careless Whisper, album, Make It Big]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make It Big Context triple: [Careless Whisper, album, Make It Big]
-
A.
Make It Big
Make It Big is a stand-up comedy special by South African comedian Riaad Moosa, showcasing his observational humor and cultural commentary.
-
B.
Make It Big
chosen
Make It Big is the 1984 pop album by British duo Wham! that propelled them to international stardom with hits like "Wake Me Up Before You Go-Go" and "Careless Whisper."
-
C.
Get Bigger
"Get Bigger" is a soulful, funk-infused R&B track by NxWorries (Anderson .Paak and Knxwledge) that showcases their laid-back grooves and introspective lyricism.
-
D.
Big Time
"Big Time" is a 1986 funk-influenced art rock song by Peter Gabriel that satirically explores consumerism, ambition, and the excesses of 1980s culture.
-
E.
Big Time
Big Time is a 1989 American comedy film starring Arye Gross as a struggling comedian navigating the stand-up scene.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec7e41c8190bd19dc5f62c69608 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.