Triple

T2556614
Position Surface form Disambiguated ID Type / Status
Subject Niklas Zennström E56742 entity
Predicate coFounded P104 FINISHED
Object Joltid
Joltid is a software company best known for developing peer-to-peer technologies that underpinned services like Skype.
 E277030 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: Joltid | Statement: [Niklas Zennström, coFounded, Joltid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joltid
Context triple: [Niklas Zennström, coFounded, Joltid]
  • A. Litovel
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • B. Jawz
    Jawz is the jaguar mascot representing Indiana University–Purdue University Indianapolis (IUPUI) at its athletic events and campus activities.
  • C. Eidolon
    Eidolon is an online classics journal and magazine that presents accessible, socially engaged writing on the ancient world for a broad contemporary audience.
  • D. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • E. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • 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: Joltid
Triple: [Niklas Zennström, coFounded, Joltid]
Generated description
Joltid is a software company best known for developing peer-to-peer technologies that underpinned services like Skype.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joltid
Target entity description: Joltid is a software company best known for developing peer-to-peer technologies that underpinned services like Skype.
  • A. Litovel
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • B. Jawz
    Jawz is the jaguar mascot representing Indiana University–Purdue University Indianapolis (IUPUI) at its athletic events and campus activities.
  • C. Eidolon
    Eidolon is an online classics journal and magazine that presents accessible, socially engaged writing on the ancient world for a broad contemporary audience.
  • D. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • E. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd310b3a48190b275be13eb050e57 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d1d937c8190ac6b7bb405a49c3c completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5dc7ef4c81908581716c07dcae47 completed March 9, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69af5e66a39c81909a49c272cd595c84 completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:48 p.m.