Triple
T2690476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariano Arista |
E57588
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Arista
Arista is a Spanish-origin surname borne by various notable individuals, including the 19th-century Mexican president Mariano Arista.
|
E291245
|
NE FINISHED |
How this triple was built (4 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: [Mariano Arista, familyName, Arista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arista Context triple: [Mariano Arista, familyName, Arista]
-
A.
Arista Nashville
Arista Nashville is a country music record label based in Nashville, Tennessee, known for signing and promoting prominent country artists.
-
B.
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.
-
C.
Zenta
Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
-
D.
Aris
Aris is a Greek professional football club based in Thessaloniki, known for its passionate fan base and long history in domestic competitions.
-
E.
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arista Triple: [Mariano Arista, familyName, Arista]
Generated description
Arista is a Spanish-origin surname borne by various notable individuals, including the 19th-century Mexican president Mariano Arista.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arista Target entity description: Arista is a Spanish-origin surname borne by various notable individuals, including the 19th-century Mexican president Mariano Arista.
-
A.
Arista Nashville
Arista Nashville is a country music record label based in Nashville, Tennessee, known for signing and promoting prominent country artists.
-
B.
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.
-
C.
Zenta
Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
-
D.
Aris
Aris is a Greek professional football club based in Thessaloniki, known for its passionate fan base and long history in domestic competitions.
-
E.
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
- F. None of above. chosen
Provenance (5 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf5e85bc81908ba1b1968cfa440a |
completed | March 10, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69afafddb2a081909b891eed7ba5411d |
completed | March 10, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb10304488190a1129efae36b3c4e |
completed | March 10, 2026, 5:49 a.m. |
Created at: March 6, 2026, 9:54 p.m.