Triple

T19351936
Position Surface form Disambiguated ID Type / Status
Subject Jacob Schuldt E484042 entity
Predicate coDesignerOf P184 FINISHED
Object Spritz
Spritz is a speed-reading technology and app designed to rapidly display text one word at a time to help users read more quickly and efficiently.
E1371997 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: Spritz | Statement: [Jacob Schuldt, coDesignerOf, Spritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spritz
Context triple: [Jacob Schuldt, coDesignerOf, Spritz]
  • A. Pinols
    Pinols is a small commune in south-central France, located within the Haute-Loire department.
  • B. Lassik
    Lassik is an extinct Athabaskan language once spoken by the Lassik people in northern California.
  • C. Torrente Bevera
    Torrente Bevera is a stream in northern Italy that serves as a tributary to Lake Annone in the Lombardy region.
  • D. Picon
    Picon is one of the Twelve Colonies of Kobol in the Battlestar Galactica universe, known as the seat of the Colonial Fleet headquarters and a major center of military and governmental power.
  • E. Kina Lillet
    Kina Lillet was a French aromatized wine-based aperitif, flavored with quinine and citrus, historically used in classic cocktails such as the Vesper.
  • 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: Spritz
Triple: [Jacob Schuldt, coDesignerOf, Spritz]
Generated description
Spritz is a speed-reading technology and app designed to rapidly display text one word at a time to help users read more quickly and efficiently.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Spritz
Target entity description: Spritz is a speed-reading technology and app designed to rapidly display text one word at a time to help users read more quickly and efficiently.
  • A. Pinols
    Pinols is a small commune in south-central France, located within the Haute-Loire department.
  • B. Lassik
    Lassik is an extinct Athabaskan language once spoken by the Lassik people in northern California.
  • C. Torrente Bevera
    Torrente Bevera is a stream in northern Italy that serves as a tributary to Lake Annone in the Lombardy region.
  • D. Picon
    Picon is one of the Twelve Colonies of Kobol in the Battlestar Galactica universe, known as the seat of the Colonial Fleet headquarters and a major center of military and governmental power.
  • E. Kina Lillet
    Kina Lillet was a French aromatized wine-based aperitif, flavored with quinine and citrus, historically used in classic cocktails such as the Vesper.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61905b16881909ab0e932bb9a0cda completed April 20, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072409b48c819081a0e5510e91d636 completed May 15, 2026, 1:47 p.m.
NEDg Description generation batch_6a0725e546488190988000d77c961c0f completed May 15, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0726a79b308190a584bc808f4b2faa completed May 15, 2026, 1:59 p.m.
Created at: April 10, 2026, 1:34 p.m.