Triple
T1870057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commodore Amiga 500 |
E39012
|
entity |
| Predicate | graphicsChip |
P20530
|
FINISHED |
| Object | Agnus |
E201692
|
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: Agnus | Statement: [Commodore Amiga 500, graphicsChip, Agnus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agnus Context triple: [Commodore Amiga 500, graphicsChip, Agnus]
-
A.
Agnus
chosen
Agnus is the custom chip in early Commodore Amiga computers responsible for managing graphics, memory access, and DMA operations within the system’s chipset.
-
B.
Lepus
Lepus is a small southern constellation located just below Orion, traditionally representing a hare.
-
C.
Xerus
Xerus is a genus of African ground squirrels known for their diurnal, social behavior and adaptation to open, arid habitats.
-
D.
Unangas
Unangas are the Indigenous people of the Aleutian Islands and nearby regions of Alaska and Russia, known for their maritime culture and distinct Aleut language.
-
E.
Anserma
Anserma is a municipality and town in the Caldas Department of Colombia, known for its coffee production and location in the Andean region.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0b95c0c8190a37907755541f8c6 |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1dab2a481909adb0a3132348cee |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:34 p.m.