Triple
T9424978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovesexy |
E227242
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Glam Slam |
E797854
|
NE FINISHED |
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: Glam Slam | Statement: [Lovesexy, hasSingle, Glam Slam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glam Slam Context triple: [Lovesexy, hasSingle, Glam Slam]
-
A.
Glam Slam
chosen
"Glam Slam" is a funk-infused pop song by Prince, released in 1988 as a single from his album Lovesexy.
-
B.
Glitz
Glitz is a crime novel by Elmore Leonard that follows a tough Miami cop entangled with a vengeful ex-con and the seedy underworld of Atlantic City.
-
C.
Glamour
Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
-
D.
The Fame
The Fame is Lady Gaga’s debut studio album, a dance-pop record that propelled her to global stardom with hits like “Just Dance” and “Poker Face.”
-
E.
Wonderbra
Wonderbra is a famous push-up bra brand known for its cleavage-enhancing lingerie and iconic advertising campaigns.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c8f59dc8190854dfc0d287731c6 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1223d3cd8819089fec4c895125049 |
completed | April 4, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:49 p.m.