Triple
T20702170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Avalanche |
E508810
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Prince Avalanche |
—
|
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: Prince Avalanche | Statement: [Prince Avalanche, title, Prince Avalanche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince Avalanche Context triple: [Prince Avalanche, title, Prince Avalanche]
-
A.
Prince Avalanche
chosen
Prince Avalanche is a 2013 indie comedy-drama film about two mismatched road workers bonding in an isolated, wildfire-ravaged landscape.
-
B.
Jack Snow
Jack Snow was an American writer best known for continuing L. Frank Baum’s Oz series with additional novels and stories.
-
C.
Ash & Ice
Ash & Ice is a 2016 studio album by indie rock duo The Kills, noted for its gritty guitar work, minimalist production, and dark, atmospheric songwriting.
-
D.
The Avalanche
The Avalanche is a 2006 compilation album by Sufjan Stevens featuring outtakes and alternate versions from his Illinois recording sessions.
-
E.
Millencolin
Millencolin is a Swedish punk rock band known for its energetic skate punk sound and international success in the 1990s and 2000s.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18cb9cc819095d0669dca037424 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:12 p.m.