Triple
T15515861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If You Love Me (Let Me Know) |
E368831
|
entity |
| Predicate | hasBSide |
P15273
|
FINISHED |
| Object | Country Girl |
E960335
|
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: Country Girl | Statement: [If You Love Me (Let Me Know), hasBSide, Country Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Country Girl Context triple: [If You Love Me (Let Me Know), hasBSide, Country Girl]
-
A.
Country Girl
"Country Girl" is a song by Olivia Rodrigo from her album "Déjà Vu."
-
B.
Country Girl
chosen
"Country Girl" is a 2006 rock single by Scottish band Primal Scream, known for its upbeat, country-tinged sound and commercial success in the UK.
-
C.
Country Girl
"Country Girl" is a popular American gospel and country song written and performed by Frances Octavia Smith, better known as Sister Rosetta Tharpe.
-
D.
Country Girl
Country Girl is a celebrated stage drama by Clifford Odets that explores the personal and professional struggles of a troubled actor and his devoted wife.
-
E.
Southern Girl
"Southern Girl" is a track featured on the hip hop compilation album *Make the Music 2000* by DJ Kool.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04033303c8190a87b6384f68a6921 |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5111648190a61fc87170b0d93c |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:02 a.m.