Triple
T20147035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Bright Future |
E491327
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Save Us All |
—
|
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: Save Us All | Statement: [Our Bright Future, hasSingle, Save Us All]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Save Us All Context triple: [Our Bright Future, hasSingle, Save Us All]
-
A.
Save Us All
chosen
"Save Us All" is a socially conscious folk-rock song by Tracy Chapman from her album *Our Bright Future*.
-
B.
Who's Gonna Save Us
"Who's Gonna Save Us" is a song by Australian punk rock band The Living End, known for its politically charged lyrics and energetic style.
-
C.
Save Me
"Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
-
D.
Save Me
"Save Me" is a 1994 American romantic comedy film starring Anne Heche and directed by Alan Roberts.
-
E.
Save Me
"Save Me" is a critically acclaimed song by American singer-songwriter Aimee Mann, best known for its prominent use in the film *Magnolia* and its nomination for the Academy Award for Best Original Song.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679f43bc8190a1cd4768b3e87505 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.