Triple
T13100548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 19 car in NASCAR Cup Series |
E310705
|
entity |
| Predicate | primarySponsor |
P1807
|
FINISHED |
| Object |
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.
|
E1020289
|
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: Arris | Statement: [No. 19 car in NASCAR Cup Series, primarySponsor, Arris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arris Context triple: [No. 19 car in NASCAR Cup Series, primarySponsor, Arris]
-
A.
Arista
Arista is a Spanish-origin surname borne by various notable individuals, including the 19th-century Mexican president Mariano Arista.
-
B.
Tesira
Tesira is Biamp Systems’ networked audio and video platform known for scalable, DSP-based solutions in professional AV installations.
-
C.
Wyse
Wyse is an alternative spelling of the surname Wise, which is borne by various individuals and businesses.
-
D.
Avisio
Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
-
E.
Fios
Fios is Verizon's fiber-optic communications service offering high-speed internet, television, and phone to residential and business customers.
- 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: Arris Triple: [No. 19 car in NASCAR Cup Series, primarySponsor, Arris]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arris Target entity description: 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.
-
A.
Arista
Arista is a Spanish-origin surname borne by various notable individuals, including the 19th-century Mexican president Mariano Arista.
-
B.
Tesira
Tesira is Biamp Systems’ networked audio and video platform known for scalable, DSP-based solutions in professional AV installations.
-
C.
Wyse
Wyse is an alternative spelling of the surname Wise, which is borne by various individuals and businesses.
-
D.
Avisio
Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
-
E.
Fios
Fios is Verizon's fiber-optic communications service offering high-speed internet, television, and phone to residential and business customers.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981515d488190908d3cca1b84a42d |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61bcfe88190866b4330d1669602 |
completed | May 3, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69f6d98988308190b82c7e7a15428af2 |
completed | May 3, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6da5b7098819092feb7064d5e7755 |
completed | May 3, 2026, 5:17 a.m. |
Created at: April 9, 2026, 9:04 p.m.