Triple
T20408281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Sux |
E500525
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | 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: Avalanche | Statement: [Love Sux, hasTrack, Avalanche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avalanche Context triple: [Love Sux, hasTrack, Avalanche]
-
A.
Avalanche
Avalanche is the codename for Operation Avalanche, the Allied invasion of mainland Italy during World War II that began with the Salerno landings in September 1943.
-
B.
Avalanche
Avalanche is a steel bobsled roller coaster at Blackpool Pleasure Beach in England, known for its twisting, trackless-style course that simulates an Olympic bobsleigh run.
-
C.
Avalanche
Avalanche is a decentralized smart contracts platform and blockchain network known for its high throughput, low latency, and support for multiple interoperable subnets.
-
D.
Avalanche
"Avalanche" is an album by the indie rock band Some Velvet Sidewalk, known for its lo-fi, experimental sound within the early 1990s underground music scene.
-
E.
Avalanche
chosen
"Avalanche" is a dark, introspective song by Leonard Cohen, known for its haunting lyrics and stark, minimalist arrangement.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3d03ac81908f37b907ccbb5088 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.