Triple
T17379172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wide Open Spaces |
E422520
|
entity |
| Predicate | containsSong |
P20452
|
FINISHED |
| Object | You Were Mine |
—
|
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: You Were Mine | Statement: [Wide Open Spaces, containsSong, You Were Mine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Were Mine Context triple: [Wide Open Spaces, containsSong, You Were Mine]
-
A.
You Were Mine
chosen
"You Were Mine" is a country song by the Dixie Chicks, known as one of their early breakthrough hits from the album "Wide Open Spaces."
-
B.
When You Were Mine
"When You Were Mine" is a synth-pop song by Prince, known for its bittersweet lyrics about unrequited love and later popularized further by Cyndi Lauper’s cover version.
-
C.
He Was Mine
"He Was Mine" is a song featured on the country album "Western Wall: The Tucson Sessions" by Linda Ronstadt and Emmylou Harris.
-
D.
She Used to Be Mine
"She Used to Be Mine" is an emotional ballad by Sara Bareilles, best known as the signature song from the Broadway musical *Waitress*, reflecting themes of regret, self-reflection, and resilience.
-
E.
You Will Be Mine
"You Will Be Mine" is a song featured on the album "Fireflies."
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a840cd08190af3385388afb8c8f |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.