Triple
T15026889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atari 7800 |
E378239
|
entity |
| Predicate | codename |
P2980
|
FINISHED |
| Object |
Maria
Maria is the custom graphics chip used in the Atari 7800 video game console, responsible for handling its advanced 2D visuals.
|
E1135798
|
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: Maria | Statement: [Atari 7800, codename, Maria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Context triple: [Atari 7800, codename, Maria]
-
A.
Maria
Maria is an Italian woman best known as the younger sister of actress Sophia Loren and the former wife of film producer Romano Mussolini.
-
B.
Maria
Maria is a character in the period drama film "Stage Beauty," which explores gender roles and the world of 17th-century English theatre.
-
C.
Maria
Maria is a track on Rage Against the Machine’s 2000 album "The Battle of Los Angeles," known for its politically charged lyrics and aggressive rap metal sound.
-
D.
Maria
Maria I of Portugal was the first queen regnant of Portugal, known for her devout Catholicism, initial period of enlightened reforms, and later mental illness that led to her son acting as regent.
-
E.
Maria
Maria is a witty and sharp-tongued lady-in-waiting to the Princess of France in William Shakespeare’s comedy "Love's Labour's Lost."
- 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: Maria Triple: [Atari 7800, codename, Maria]
Generated description
Maria is the custom graphics chip used in the Atari 7800 video game console, responsible for handling its advanced 2D visuals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maria Target entity description: Maria is the custom graphics chip used in the Atari 7800 video game console, responsible for handling its advanced 2D visuals.
-
A.
Maria
Maria is a friendly human character from Sesame Street known for her warm personality and close relationships with the show's Muppet residents.
-
B.
Maria
Maria is a powerful and ruthless vampire from the Twilight series, known for creating and commanding a newborn vampire army in the American South.
-
C.
Maria
Maria was a Byzantine empress consort and the mother of Emperor Constantine V in the 8th-century Byzantine Empire.
-
D.
Maria
Maria was a Byzantine empress consort, known primarily as the wife of Emperor Constantine V in the 8th-century Byzantine Empire.
-
E.
Maria
Maria is a woman known primarily as the daughter of Theophilus.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5b0bbf4819082e14715bfd6003d |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea6f926d481908cf4465205c628db |
completed | May 9, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea9ab97e08190995c090c1fb9ed3b |
completed | May 9, 2026, 3:27 a.m. |
Created at: April 10, 2026, 2:58 a.m.