Triple
T20089448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breathe Again |
E496228
|
entity |
| Predicate | distributionLabel |
P15714
|
FINISHED |
| Object | Arista |
—
|
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: Arista | Statement: [Breathe Again, distributionLabel, Arista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arista Context triple: [Breathe Again, distributionLabel, Arista]
-
A.
Arista
Arista is a Spanish-origin surname borne by various notable individuals, including the 19th-century Mexican president Mariano Arista.
-
B.
Arista
Arista is one of King Triton’s mermaid daughters in Disney’s The Little Mermaid franchise, known for her fun-loving and energetic personality.
-
C.
Arista
chosen
Arista is a major American record label known for signing and promoting a wide range of successful pop, rock, and R&B artists.
-
D.
Vyse
Vyse is a surname most notably associated with British Egyptologist and army officer Richard William Howard Vyse, known for his controversial excavations at the Pyramids of Giza in the 19th century.
-
E.
Vyse
Vyse is the adventurous young sky pirate and main hero of the role-playing game Skies of Arcadia.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655d65a88190a510132f36341b6c |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 11:19 p.m.