Triple
T20462690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funny Lady |
E501965
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object | How Lucky Can You Get |
—
|
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: How Lucky Can You Get | Statement: [Funny Lady, hasSong, How Lucky Can You Get]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Lucky Can You Get Context triple: [Funny Lady, hasSong, How Lucky Can You Get]
-
A.
How Lucky Can a Man Get
chosen
"How Lucky Can a Man Get" is a song featured on the album "Make a Move," likely known as one of its notable tracks.
-
B.
Get Lucky
"Get Lucky" is a globally successful 2013 disco-funk single by Daft Punk featuring Pharrell Williams and Nile Rodgers, known for its catchy groove and retro-inspired sound.
-
C.
Get Lucky
Get Lucky is a studio album by Australian rock group Little River Band, showcasing their soft rock and adult contemporary sound of the early 1990s.
-
D.
Lucky You
Lucky You is a 2007 romantic drama film set in the high-stakes world of professional poker in Las Vegas, starring Eric Bana and Drew Barrymore.
-
E.
Lucky You
"Lucky You" is a hip hop track by Eminem featuring Joyner Lucas, known for its rapid-fire verses and introspective lyrics about success and criticism in the rap industry.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a761648190b24cf4bb90a8abb1 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:33 a.m.