Triple
T23373692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emotions |
E593547
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Boogie Wonderland |
—
|
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: Boogie Wonderland | Statement: [Emotions, notableWork, Boogie Wonderland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boogie Wonderland Context triple: [Emotions, notableWork, Boogie Wonderland]
-
A.
Boogie Wonderland
chosen
"Boogie Wonderland" is a 1979 disco hit performed by Earth, Wind & Fire with The Emotions, celebrated for its exuberant groove and enduring popularity on dance floors worldwide.
-
B.
Boogie Child
"Boogie Child" is a funk-infused disco track by the Bee Gees, known for its energetic groove and prominent use of falsetto vocals.
-
C.
The Boogie That Be
"The Boogie That Be" is a high-energy hip hop track by the Black Eyed Peas known for its funky beats and party-oriented vibe.
-
D.
Boogie
Boogie is a coming-of-age sports drama film centered on a Chinese American basketball phenom navigating cultural expectations and his NBA dreams.
-
E.
Believe in the Boogie
"Believe in the Boogie" is a song by British singer-songwriter James Blunt from his album "All the Lost Souls."
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b0bc3c8190b1093f7ea29d015c |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:33 p.m.