Triple
T9298137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tensor Cores |
E223691
|
entity |
| Predicate | presentInArchitecture |
P6684
|
FINISHED |
| Object | Ada Lovelace |
E18849
|
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: Ada Lovelace | Statement: [Tensor Cores, presentInArchitecture, Ada Lovelace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ada Lovelace Context triple: [Tensor Cores, presentInArchitecture, Ada Lovelace]
-
A.
Ada Lovelace
chosen
Ada Lovelace was a 19th-century English mathematician and writer widely regarded as the first computer programmer for her pioneering work on Charles Babbage’s Analytical Engine.
-
B.
Eva Lovelace
Eva Lovelace is the ambitious young aspiring actress at the center of the 1933 film "Morning Glory," whose struggle for stardom drives the story.
-
C.
Lovelace
Lovelace is a biographical drama film about adult film star Linda Lovelace, known for exploring themes of exploitation and personal liberation.
-
D.
Alicia Boole
Alicia Boole was an Irish-English mathematician known for her pioneering work on four-dimensional geometry and polytopes.
-
E.
Claire Dodgson
Claire Dodgson is a film editor known for her work on major animated features, including Despicable Me 3.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd089e3ae88190aa4181cdd85a67b8 |
completed | April 1, 2026, 11:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b251c4148190a94fafdc23a601d6 |
completed | April 4, 2026, 6:40 a.m. |
Created at: March 30, 2026, 7:36 p.m.