Triple
T9377580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reprise RS 6376 |
E225689
|
entity |
| Predicate | sideAContainsTrack |
P25310
|
FINISHED |
| Object | For Free |
E225682
|
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: For Free | Statement: [Reprise RS 6376, sideAContainsTrack, For Free]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: For Free Context triple: [Reprise RS 6376, sideAContainsTrack, For Free]
-
A.
For Free
chosen
"For Free" is a reflective folk song by Joni Mitchell that contrasts commercial success with the purity of a street musician’s art.
-
B.
Free
"Free" is a soulful R&B single by British singer Estelle that helped establish her early career and showcase her distinctive vocal style.
-
C.
Free
"Free" is a 1994 studio album by American alternative rock band Concrete Blonde, showcasing their dark, melodic rock sound and introspective songwriting.
-
D.
Free
Free was a British rock band formed in the late 1960s, best known for their hit song "All Right Now" and their influential role in the development of hard rock and blues rock.
-
E.
Free
"Free" is a song by English indie rock band Florence and the Machine, known for its energetic sound and themes of emotional liberation.
- 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_69ca842d8ee88190aaaa639aa953185d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50ac8aec8190a386c525e9cab7b1 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100d976d481909502901cec1fc83f |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:44 p.m.