Triple
T8952488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atari Falcon |
E213386
|
entity |
| Predicate | graphicsChip |
P20530
|
FINISHED |
| Object |
VIDEL
VIDEL is the advanced video display and graphics controller chip used in Atari Falcon computers, providing enhanced resolutions, color depth, and display capabilities.
|
E767889
|
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: VIDEL | Statement: [Atari Falcon, graphicsChip, VIDEL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VIDEL Context triple: [Atari Falcon, graphicsChip, VIDEL]
-
A.
Gidar
Gidar is an Afroasiatic Chadic language spoken primarily in parts of northern Cameroon and neighboring regions.
-
B.
Viddalba
Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
-
C.
Yidgha
Yidgha is an Eastern Iranian language spoken primarily in parts of northern Pakistan, closely related to the Munji language and noted for its conservative phonological features.
-
D.
Vé
Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
-
E.
Ezida
Ezida is an ancient Mesopotamian temple complex primarily dedicated to the god Nabu, associated with wisdom and writing.
- 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: VIDEL Triple: [Atari Falcon, graphicsChip, VIDEL]
Generated description
VIDEL is the advanced video display and graphics controller chip used in Atari Falcon computers, providing enhanced resolutions, color depth, and display capabilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VIDEL Target entity description: VIDEL is the advanced video display and graphics controller chip used in Atari Falcon computers, providing enhanced resolutions, color depth, and display capabilities.
-
A.
Gidar
Gidar is an Afroasiatic Chadic language spoken primarily in parts of northern Cameroon and neighboring regions.
-
B.
Viddalba
Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
-
C.
Yidgha
Yidgha is an Eastern Iranian language spoken primarily in parts of northern Pakistan, closely related to the Munji language and noted for its conservative phonological features.
-
D.
Vé
Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
-
E.
Ezida
Ezida is an ancient Mesopotamian temple complex primarily dedicated to the god Nabu, associated with wisdom and writing.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670dc0c88190b1f59e96ad88e4ee |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc210302c8190b1c062fcbcfeb0f6 |
completed | April 3, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69cfc34eba0881908155770166639481 |
completed | April 3, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc41fca3081908d8c2515c98283de |
completed | April 3, 2026, 1:43 p.m. |
Created at: March 30, 2026, 6:59 p.m.