Triple
T19862298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bella Donna |
E477293
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Leather and Lace |
—
|
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: Leather and Lace | Statement: [Bella Donna, hasTrack, Leather and Lace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leather and Lace Context triple: [Bella Donna, hasTrack, Leather and Lace]
-
A.
Leather and Lace
chosen
"Leather and Lace" is a 1981 soft rock duet by Stevie Nicks and Don Henley, known for its gentle harmonies and introspective lyrics about the balance between toughness and vulnerability in relationships.
-
B.
Lace and Leather
"Lace and Leather" is a song by Alice Cooper from his 1980 hard rock album "Flush the Fashion."
-
C.
Laced
Laced is a mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
-
D.
The Shoe
The Shoe is an indie music project fronted by actress and musician Jena Malone, known for its experimental, lo-fi sound and intimate songwriting.
-
E.
The Shoe
The Shoe is the massive, horseshoe-shaped football stadium at The Ohio State University in Columbus, Ohio, renowned as the home of the Buckeyes.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589b3cbc8190afe847e83f04c45b |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.