Triple

T3419554
Position Surface form Disambiguated ID Type / Status
Subject Telegram E72084 entity
Predicate creator P184 FINISHED
Object Pavel Durov E222116 NE FINISHED

How this triple was built (2 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: Pavel Durov | Statement: [Telegram, creator, Pavel Durov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pavel Durov
Context triple: [Telegram, creator, Pavel Durov]
  • A. Pavel Durov chosen
    Pavel Durov is a Russian-born tech entrepreneur best known as the founder of the social networking site VKontakte and the encrypted messaging app Telegram.
  • B. Pavel Postyshev
    Pavel Postyshev was a Soviet Communist Party official and Stalin loyalist notorious for his leading role in enforcing brutal policies in Ukraine during the early 1930s, including those associated with the Holodomor.
  • C. Yuri Milner
    Yuri Milner is a Russian-Israeli billionaire technology investor and philanthropist known for backing major internet companies and creating high-profile science awards such as the Breakthrough Prizes.
  • D. Nellie Levchin
    Nellie Levchin is the wife of Ukrainian-American entrepreneur and PayPal co-founder Max Levchin.
  • E. Daniel Domscheit-Berg
    Daniel Domscheit-Berg is a German technology activist and former WikiLeaks spokesperson who became known for his whistleblowing work and later critiques of the organization.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb94d6808819080997df30119e71e completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b354701e908190a8a7f14ae578fa5d completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.