Triple

T18343477
Position Surface form Disambiguated ID Type / Status
Subject Steve Kirsch E439469 entity
Predicate founded P104 FINISHED
Object Mouse Systems
Mouse Systems was an early computer hardware company best known for producing some of the first widely used optical computer mice and pointing devices.
 E1320340 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: Mouse Systems | Statement: [Steve Kirsch, founded, Mouse Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mouse Systems
Context triple: [Steve Kirsch, founded, Mouse Systems]
  • A. Mouse Tower
    Mouse Tower is a historic stone tower in Kruszwica, Poland, famed for the medieval legend of King Popiel being devoured by mice.
  • B. Logitech MX Master mouse series
    The Logitech MX Master mouse series is a line of premium, ergonomically designed wireless mice known for their advanced productivity features, customizable controls, and seamless multi-device connectivity.
  • C. Mouse Davis
    Mouse Davis is an American football coach renowned as a pioneer of the run-and-shoot offense, which he implemented successfully at various levels of the sport.
  • D. Mouse
    Mouse is a small rodent often depicted in stories and media as a timid yet resourceful character.
  • E. Mouse
    "Mouse" is a short story featured in the speculative fiction collection "Smoke and Mirrors" by Neil Gaiman.
  • 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: Mouse Systems
Triple: [Steve Kirsch, founded, Mouse Systems]
Generated description
Mouse Systems was an early computer hardware company best known for producing some of the first widely used optical computer mice and pointing devices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mouse Systems
Target entity description: Mouse Systems was an early computer hardware company best known for producing some of the first widely used optical computer mice and pointing devices.
  • A. Mouse Tower
    Mouse Tower is a historic stone tower in Kruszwica, Poland, famed for the medieval legend of King Popiel being devoured by mice.
  • B. Logitech MX Master mouse series
    The Logitech MX Master mouse series is a line of premium, ergonomically designed wireless mice known for their advanced productivity features, customizable controls, and seamless multi-device connectivity.
  • C. Mouse Davis
    Mouse Davis is an American football coach renowned as a pioneer of the run-and-shoot offense, which he implemented successfully at various levels of the sport.
  • D. Mouse
    Mouse is a small rodent often depicted in stories and media as a timid yet resourceful character.
  • E. Mouse
    "Mouse" is a short story featured in the speculative fiction collection "Smoke and Mirrors" by Neil Gaiman.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f188e081909cdbce61a21b9591 completed April 19, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03cc245d008190838015a5129f232f completed May 13, 2026, 12:56 a.m.
NEDg Description generation batch_6a03d05679f4819096ecee9c2a19ad26 completed May 13, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a03d0cd1a688190ba67d1601e4fea79 completed May 13, 2026, 1:15 a.m.
Created at: April 10, 2026, 10:37 a.m.