Triple
T23551962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Above |
E578076
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Long Gone Day |
—
|
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: Long Gone Day | Statement: [Above, hasTrack, Long Gone Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Long Gone Day Context triple: [Above, hasTrack, Long Gone Day]
-
A.
Long Gone Day
chosen
"Long Gone Day" is a jazz-tinged, melancholic rock song by the 1990s supergroup Mad Season, noted for its atmospheric instrumentation and introspective vocals.
-
B.
Long Gone
"Long Gone" is a song featured on the album "Scream."
-
C.
Lonesome Day
"Lonesome Day" is a rock song by Bruce Springsteen, known as the opening track of his post-9/11 themed album *The Rising*.
-
D.
Goin’ Gone
"Goin’ Gone" is a country song recorded by Nanci Griffith, best known as one of the tracks on her influential 1986 album *The Last of the True Believers*.
-
E.
Gone So Long
"Gone So Long" is a novel by Andre Dubus III that explores the long-term emotional fallout of a violent crime through the fraught reunion of an estranged father and daughter.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecf28508190b8d3396591e5e6bb |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.