Triple
T16729818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girls Want Girls |
E406557
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Certified Lover Boy |
E329156
|
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: Certified Lover Boy | Statement: [Girls Want Girls, partOf, Certified Lover Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Certified Lover Boy Context triple: [Girls Want Girls, partOf, Certified Lover Boy]
-
A.
Certified Lover Boy
chosen
Certified Lover Boy is a 2021 studio album by Canadian rapper and singer Drake that blends introspective lyrics with melodic rap and R&B influences.
-
B.
Lovergirl
"Lovergirl" is a popular 1984 R&B and funk single by American singer Teena Marie, known for its catchy groove and powerful vocals.
-
C.
Lover Alot
Lover Alot is a hard-rock track by Aerosmith featured on their 2012 studio album "Music from Another Dimension!".
-
D.
Lover to Lover
"Lover to Lover" is a song by English indie rock band Florence + The Machine from their second studio album, Ceremonials.
-
E.
The Love Album
The Love Album is a studio album by Irish boy band Westlife featuring covers of classic love songs.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3874ad5b481908199e4d99ac4225e |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a519a89081909456bb6fc25d9234 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:20 a.m.