Triple
T18634296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Used to Wanna Be a Ballerina |
E455502
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Bells |
—
|
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: Bells | Statement: [She Used to Wanna Be a Ballerina, hasTrack, Bells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bells Context triple: [She Used to Wanna Be a Ballerina, hasTrack, Bells]
-
A.
Bells
chosen
"Bells" is a song performed live by Justin Timberlake as part of his The 20/20 Experience World Tour setlist.
-
B.
Bells
Bells is a small city in Grayson County, Texas, known for its rural character and location near the Sherman–Denison metropolitan area.
-
C.
Shandon Bells
Shandon Bells is a famous set of church bells housed in the iconic Shandon Tower in Cork, Ireland, known for allowing visitors to ring them.
-
D.
Bow Bells
Bow Bells are the famous church bells of St Mary-le-Bow in London, traditionally associated with defining who is considered a true Cockney.
-
E.
Ringing Bells
Ringing Bells is a Brooklyn-based musical project known for its experimental, indie-influenced sound and local creative roots.
- 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_69e54fc74d208190bfda63b5b0b160cd |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.