Triple
T13747819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silhouette |
E330262
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Arista |
E291245
|
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: Arista | Statement: [Silhouette, recordLabel, Arista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arista Context triple: [Silhouette, recordLabel, Arista]
-
A.
Arista
chosen
Arista is a Spanish-origin surname borne by various notable individuals, including the 19th-century Mexican president Mariano Arista.
-
B.
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.
-
C.
Arris
Arris is a telecommunications equipment and technology company best known for producing broadband, video, and networking solutions such as cable modems and set-top boxes.
-
D.
Meraki
Meraki is a cloud-managed IT company known for its wireless, switching, security, and device management solutions, acquired by and operating as a subsidiary of Cisco.
-
E.
Aristada
Aristada is a long-acting injectable antipsychotic medication (aripiprazole lauroxil) used primarily to treat schizophrenia in adults.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02132a108190aca728b95e83af01 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a854098c8190983d142c9930962b |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:08 p.m.