Triple

T11290498
Position Surface form Disambiguated ID Type / Status
Subject Atari Jaguar E267310 entity
Predicate customChip P20530 FINISHED
Object Jerry
Jerry is a custom audio and signal-processing chip used in Atari's Jaguar video game console to handle sound and certain computational tasks.
 E926901 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: Jerry | Statement: [Atari Jaguar, customChip, Jerry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jerry
Context triple: [Atari Jaguar, customChip, Jerry]
  • A. Jerry
    Jerry is the given name of Jerry Lee Lewis, the influential American rock and roll and country music singer and pianist known for hits like "Great Balls of Fire."
  • B. Jerry
    Jerry is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Gerald, Jerome, or Jeremy.
  • C. Jerry
    Jerry is the video store clerk protagonist of the comedy film "Be Kind Rewind," known for recreating erased movies with homemade, low-budget remakes.
  • D. Jerry
    Jerry is the given name of Jerry Reinsdorf, the American businessman best known as the longtime owner of the Chicago Bulls and Chicago White Sox.
  • E. Jerry
    Jerry is one of the two cross-dressing musician protagonists in the classic 1959 comedy film "Some Like It Hot," famously portrayed by Jack Lemmon.
  • 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: Jerry
Triple: [Atari Jaguar, customChip, Jerry]
Generated description
Jerry is a custom audio and signal-processing chip used in Atari's Jaguar video game console to handle sound and certain computational tasks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jerry
Target entity description: Jerry is a custom audio and signal-processing chip used in Atari's Jaguar video game console to handle sound and certain computational tasks.
  • A. Jerry
    Jerry is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Gerald, Jerome, or Jeremy.
  • B. Jerry
    Jerry is the given name of Jerry Lee Lewis, the influential American rock and roll and country music singer and pianist known for hits like "Great Balls of Fire."
  • C. Jerry
    Jerry is the video store clerk protagonist of the comedy film "Be Kind Rewind," known for recreating erased movies with homemade, low-budget remakes.
  • D. Jerry
    Jerry is the given name of Jerry Reinsdorf, the American businessman best known as the longtime owner of the Chicago Bulls and Chicago White Sox.
  • E. Jerry
    Jerry is one of the two cross-dressing musician protagonists in the classic 1959 comedy film "Some Like It Hot," famously portrayed by Jack Lemmon.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e989fdac81909a4a75f1f68b55c6 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8a4322c8190a30e460892123579 completed April 20, 2026, 8:49 a.m.
NEDg Description generation batch_69e5f1557e9c8190b53ce391793b2c7f completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f863bf7c81908969ed0a5b99f032 completed April 20, 2026, 9:56 a.m.
Created at: April 8, 2026, 9:32 p.m.