Triple

T2409035
Position Surface form Disambiguated ID Type / Status
Subject Transmeta E50342 entity
Predicate foundedBy P104 FINISHED
Object Mitchell Alsup
Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
 E262486 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: Mitchell Alsup | Statement: [Transmeta, foundedBy, Mitchell Alsup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mitchell Alsup
Context triple: [Transmeta, foundedBy, Mitchell Alsup]
  • A. Heaven Hart
    Heaven Hart is the daughter of American comedian and actor Kevin Hart.
  • B. Hallie Kate Eisenberg
    Hallie Kate Eisenberg is an American former child actress best known for her Pepsi commercials and roles in films such as "Paulie" and "Bicentennial Man."
  • C. Tilly Grosser
    Tilly Grosser was the first wife of Austrian neurologist and Holocaust survivor Viktor Frankl, who perished during the Holocaust.
  • D. Margo King
    Margo King is a notable individual distinguished enough to be recognized as a prominent bearer of the surname King.
  • E. Lori Alan
    Lori Alan is an American voice actress known for her work in animation, including roles in major franchises such as Toy Story and SpongeBob SquarePants.
  • 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: Mitchell Alsup
Triple: [Transmeta, foundedBy, Mitchell Alsup]
Generated description
Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mitchell Alsup
Target entity description: Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
  • A. Heaven Hart
    Heaven Hart is the daughter of American comedian and actor Kevin Hart.
  • B. Hallie Kate Eisenberg
    Hallie Kate Eisenberg is an American former child actress best known for her Pepsi commercials and roles in films such as "Paulie" and "Bicentennial Man."
  • C. Tilly Grosser
    Tilly Grosser was the first wife of Austrian neurologist and Holocaust survivor Viktor Frankl, who perished during the Holocaust.
  • D. Margo King
    Margo King is a notable individual distinguished enough to be recognized as a prominent bearer of the surname King.
  • E. Lori Alan
    Lori Alan is an American voice actress known for her work in animation, including roles in major franchises such as Toy Story and SpongeBob SquarePants.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc925c6e481909bfd45b361d21963 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3edc63c8190ac6737bf28993f1b completed March 9, 2026, 11:50 a.m.
NEDg Description generation batch_69aeb4a5e9c481908426fe51343a1342 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb52bec1881909c589aea2af3684c completed March 9, 2026, 11:55 a.m.
Created at: March 4, 2026, 7:58 p.m.