Triple
T8632767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AGA chipset generation |
E204441
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | Paula chip |
E230344
|
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: Paula chip | Statement: [AGA chipset generation, component, Paula chip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paula chip Context triple: [AGA chipset generation, component, Paula chip]
-
A.
Paula
chosen
Paula is the custom audio and I/O coprocessor used in Commodore Amiga computers, responsible for sound generation and handling certain input/output functions.
-
B.
Paula
Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
-
C.
Pauley
Pauley is a diminutive given name or nickname derived from the name Paul.
-
D.
Checca
Checca is an Italian diminutive form of the female given name Francesca, commonly used as an affectionate nickname.
-
E.
Patty
Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4742a89081909f9f7b3621e50b40 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecca2a3e48190b74ed3c948196409 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:27 p.m.