Triple
T9248682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makey Makey Classic |
E222262
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Jay Silver |
E215654
|
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: Jay Silver | Statement: [Makey Makey Classic, developer, Jay Silver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Silver Context triple: [Makey Makey Classic, developer, Jay Silver]
-
A.
Jay Silver
chosen
Jay Silver is an American inventor and educator best known for creating playful, accessible electronics kits that turn everyday objects into computer interfaces.
-
B.
Michael Silvers
Michael Silvers is a sound designer known for his work on Pixar’s animated short film "The Blue Umbrella."
-
C.
Jeremy Gold
Jeremy Gold is a television producer and executive known for his work on the AMC Western drama series "Hell on Wheels."
-
D.
Jay Proctor
Jay Proctor is an American soul singer best known as the lead vocalist of the 1960s group Jay & the Techniques, recognized for their hit "Apples, Peaches, Pumpkin Pie."
-
E.
Jay Cronley
Jay Cronley was an American novelist and newspaper columnist known for his humorous crime and caper stories, several of which were adapted into films.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f6d62c8190a1e33f1854767b47 |
completed | April 1, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077fed7888190a5d36bc2ee4c2bd2 |
completed | April 4, 2026, 2:31 a.m. |
Created at: March 30, 2026, 7:31 p.m.