Triple
T21556445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Body Language |
E531903
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Happy Anywhere |
—
|
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: Happy Anywhere | Statement: [Body Language, hasSingle, Happy Anywhere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy Anywhere Context triple: [Body Language, hasSingle, Happy Anywhere]
-
A.
Happy Anywhere
chosen
"Happy Anywhere" is a country duet by Blake Shelton and Gwen Stefani that celebrates finding joy and contentment wherever you are as long as you're together.
-
B.
Anywhere Is
"Anywhere Is" is a 1995 ethereal pop song by Irish singer Enya, known for its uplifting melody and poetic, imaginative lyrics.
-
C.
Anyplace Is Paradise
"Anyplace Is Paradise" is a rock and roll song recorded by Elvis Presley in 1956, featured on his early RCA releases.
-
D.
Whenever, Wherever
"Whenever, Wherever" is a globally successful Latin pop song by Colombian singer Shakira that helped launch her international crossover career in the early 2000s.
-
E.
Any Time, Any Place
"Any Time, Any Place" is a sensual R&B slow jam by Janet Jackson from her 1993 album "janet." known for its intimate lyrics and smooth, atmospheric 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e04b048190ac3a9913094b4625 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.