Triple

T537960
Position Surface form Disambiguated ID Type / Status
Subject Udemy E12367 entity
Predicate foundedBy P104 FINISHED
Object Eren Bali
Eren Bali is a Turkish-American entrepreneur best known as the co-founder and former CEO of the online learning platform Udemy.
E67713 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: Eren Bali | Statement: [Udemy, foundedBy, Eren Bali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eren Bali
Context triple: [Udemy, foundedBy, Eren Bali]
  • A. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • B. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • C. Yuri
    Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
  • D. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • E. Bala
    Bala is a small historic market town in Gwynedd, Wales, best known for its proximity to Llyn Tegid (Bala Lake), the largest natural lake in Wales.
  • 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: Eren Bali
Triple: [Udemy, foundedBy, Eren Bali]
Generated description
Eren Bali is a Turkish-American entrepreneur best known as the co-founder and former CEO of the online learning platform Udemy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eren Bali
Target entity description: Eren Bali is a Turkish-American entrepreneur best known as the co-founder and former CEO of the online learning platform Udemy.
  • A. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • B. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • C. Yuri
    Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
  • D. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • E. Bala
    Bala is a small historic market town in Gwynedd, Wales, best known for its proximity to Llyn Tegid (Bala Lake), the largest natural lake in Wales.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a496dc0aac8190afb75ec6c47a1d2d completed March 1, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5aec388190861b0ee100790c7a completed March 1, 2026, 11:31 p.m.
NEDg Description generation batch_69a4ce71fd488190854e2c19e5acfdf0 completed March 1, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69a4cec94bd881908525b92fd9c804f9 completed March 1, 2026, 11:42 p.m.
Created at: March 1, 2026, 7:32 p.m.