Triple
T10103927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stranger in the Alps |
E216270
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Funeral |
E217085
|
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: Funeral | Statement: [Stranger in the Alps, hasTrack, Funeral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Funeral Context triple: [Stranger in the Alps, hasTrack, Funeral]
-
A.
Funeral
"Funeral" is a 2020 studio album by American rapper Lil Wayne that showcases his rapid-fire lyricism over a diverse range of modern trap and melodic production.
-
B.
Funeral
chosen
"Funeral" is the critically acclaimed 2004 debut studio album by Canadian indie rock band Arcade Fire, known for its emotional intensity and orchestral, anthemic sound.
-
C.
The Funeral
"The Funeral" is a 1701 comedic play by Richard Steele that helped establish his reputation in early 18th-century English drama.
-
D.
The Funeral
"The Funeral" is a track from Swizz Beatz's debut studio album "One Man Band Man," showcasing his signature production style and energetic hip-hop sound.
-
E.
A Funeral
"A Funeral" is a somber interior painting by Danish artist Anna Ancher that reflects her characteristic use of light and color to depict everyday life in Skagen.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09c961081909848acec4438c300 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6dcca848190851f6f1968fe244c |
completed | April 5, 2026, 7:24 p.m. |
Created at: March 30, 2026, 9:03 p.m.