Triple
T16416581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Micro Devices |
E398701
|
entity |
| Predicate | hasFounder |
P104
|
FINISHED |
| Object | Frank Botte |
E398701
|
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: Frank Botte | Statement: [Advanced Micro Devices, hasFounder, Frank Botte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Botte Context triple: [Advanced Micro Devices, hasFounder, Frank Botte]
-
A.
Frank Botte
chosen
Frank Botte is a technology entrepreneur best known as one of the founders of semiconductor company Advanced Micro Devices (AMD).
-
B.
William Botti
William Botti is a video game industry figure best known as a co-founder of the game development studio Treyarch.
-
C.
Frank Cappello
Frank Cappello is an American screenwriter and filmmaker best known for his work on genre films, including co-writing the supernatural action movie "Constantine" (2005).
-
D.
Frank Leonetti
Frank Leonetti is a relative of American cinematographer and film director John R. Leonetti, known for his work in the film industry.
-
E.
Frank Yaconelli
Frank Yaconelli was an Italian-American character actor and musician known for his comic supporting roles in numerous Hollywood films from the 1930s and 1940s.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32877ff248190886717d3329421a7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a2363208190beb218e633d0627e |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:09 a.m.