Triple

T18958890
Position Surface form Disambiguated ID Type / Status
Subject Artists and Models E463855 entity
Predicate featuresCharacter P626 FINISHED
Object Eugene Fullstack
Eugene Fullstack is a fictional character appearing in the 1955 comedy film "Artists and Models."
 E1350445 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: Eugene Fullstack | Statement: [Artists and Models, featuresCharacter, Eugene Fullstack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eugene Fullstack
Context triple: [Artists and Models, featuresCharacter, Eugene Fullstack]
  • A. School of Data
    School of Data is an educational initiative that helps people and organizations develop practical data literacy and data skills, particularly for civic and social impact.
  • B. LaunchCode
    LaunchCode is a nonprofit organization that provides free coding education and job placement programs to help people start careers in technology.
  • C. Tobias Koppers
    Tobias Koppers is a German software engineer best known for creating Webpack, a widely used JavaScript module bundler in modern web development.
  • D. Evan You
    Evan You is a Chinese-American software developer best known as the creator and lead maintainer of the Vue.js JavaScript framework.
  • E. Ryan McDermott
    Ryan McDermott is a name shared by multiple individuals, including professionals in fields such as entertainment, sports, and academia.
  • 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: Eugene Fullstack
Triple: [Artists and Models, featuresCharacter, Eugene Fullstack]
Generated description
Eugene Fullstack is a fictional character appearing in the 1955 comedy film "Artists and Models."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eugene Fullstack
Target entity description: Eugene Fullstack is a fictional character appearing in the 1955 comedy film "Artists and Models."
  • A. School of Data
    School of Data is an educational initiative that helps people and organizations develop practical data literacy and data skills, particularly for civic and social impact.
  • B. LaunchCode
    LaunchCode is a nonprofit organization that provides free coding education and job placement programs to help people start careers in technology.
  • C. Tobias Koppers
    Tobias Koppers is a German software engineer best known for creating Webpack, a widely used JavaScript module bundler in modern web development.
  • D. Evan You
    Evan You is a Chinese-American software developer best known as the creator and lead maintainer of the Vue.js JavaScript framework.
  • E. Ryan McDermott
    Ryan McDermott is a name shared by multiple individuals, including professionals in fields such as entertainment, sports, and academia.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d057a48190b82b5788b3281e28 completed April 20, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059fd732f8819087374b0157bb693e completed May 14, 2026, 10:11 a.m.
NEDg Description generation batch_6a05a162a4ec81908bcdccd46e19035e completed May 14, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a05a1f3b8908190b8295a25fff9daba completed May 14, 2026, 10:20 a.m.
Created at: April 10, 2026, noon