Triple
T1926151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makey Makey Go |
E40835
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Jay Silver
Jay Silver is an American inventor and educator best known for creating playful, accessible electronics kits that turn everyday objects into computer interfaces.
|
E215654
|
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: Jay Silver | Statement: [Makey Makey Go, creator, Jay Silver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Silver Context triple: [Makey Makey Go, creator, Jay Silver]
-
A.
Jeremy Gold
Jeremy Gold is a television producer and executive known for his work on the AMC Western drama series "Hell on Wheels."
-
B.
Jay
Jay is the surname of John Jay, a prominent American Founding Father and the first Chief Justice of the United States.
-
C.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
D.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
-
E.
Jay Heaps
Jay Heaps is an American former soccer defender and coach best known for his long association with the New England Revolution as both a player and head coach.
- 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: Jay Silver Triple: [Makey Makey Go, creator, Jay Silver]
Generated description
Jay Silver is an American inventor and educator best known for creating playful, accessible electronics kits that turn everyday objects into computer interfaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jay Silver Target entity description: Jay Silver is an American inventor and educator best known for creating playful, accessible electronics kits that turn everyday objects into computer interfaces.
-
A.
Jeremy Gold
Jeremy Gold is a television producer and executive known for his work on the AMC Western drama series "Hell on Wheels."
-
B.
Jay
Jay is the surname of John Jay, a prominent American Founding Father and the first Chief Justice of the United States.
-
C.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
D.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
-
E.
Jay Heaps
Jay Heaps is an American former soccer defender and coach best known for his long association with the New England Revolution as both a player and head coach.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb261ef8481909be2390ac5a02622 |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3e881748190b00f125185e91271 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf494f0288190bf77285d18fcd3d9 |
completed | March 8, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf51f49488190b9b0465b4da685c1 |
completed | March 8, 2026, 10:15 p.m. |
Created at: March 4, 2026, 7:35 p.m.