Triple
T20148837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Underground Luxury |
E491379
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Kristal |
—
|
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: Kristal | Statement: [Underground Luxury, featuresArtist, Kristal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristal Context triple: [Underground Luxury, featuresArtist, Kristal]
-
A.
Kristall
Kristall was a Russian-built scientific and technological module of the Mir space station used for materials processing, biotechnology experiments, and docking tests.
-
B.
Krystal
chosen
Krystal is a feminine given name, typically considered a modern variant of the name Crystal.
-
C.
The Crystal
The Crystal is a landmark sustainable building and exhibition center in London known for its distinctive glass architecture and focus on urban sustainability and green technologies.
-
D.
The Crystal
The Crystal is the striking, glass-and-steel, prismatic expansion of the Royal Ontario Museum in Toronto, designed by architect Daniel Libeskind.
-
E.
Crystal
Crystal is the surname of American actor, comedian, and filmmaker Billy Crystal, known for his work in film, television, and stand-up comedy.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a0c0e881909a4f21a5d22973d2 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.