Triple
T22578609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Mourning |
E544497
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Good Mourning |
—
|
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: Good Mourning | Statement: [Good Mourning, title, Good Mourning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Mourning Context triple: [Good Mourning, title, Good Mourning]
-
A.
Good Mourning
Good Mourning is a song by the American rock band Train of Thought.
-
B.
Good Mourning
chosen
Good Mourning is a 2003 studio album by American punk rock band Alkaline Trio, known for its dark, melodic sound and emotionally charged lyrics.
-
C.
Good Grief
Good Grief is the debut studio album by American indie pop band Lucius, noted for its lush harmonies and polished, hook-driven sound.
-
D.
Mourning in the Morning
"Mourning in the Morning" is a 1969 electric blues album by guitarist and singer Otis Rush that blends Chicago blues with soul and rock influences.
-
E.
Gute Nacht
"Gute Nacht" is the somber, wandering first song of Franz Schubert’s song cycle *Winterreise*, setting Wilhelm Müller’s poetry to music.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15feee27c8190b31c923e1f00a363 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.