Triple

T15563823
Position Surface form Disambiguated ID Type / Status
Subject Vladimir Tenev E371064 entity
Predicate familyName P18 FINISHED
Object Tenev
Tenev is a Bulgarian surname most notably associated with Vladimir Tenev, the co-founder of the financial services company Robinhood.
 E1163567 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: Tenev | Statement: [Vladimir Tenev, familyName, Tenev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tenev
Context triple: [Vladimir Tenev, familyName, Tenev]
  • A. Telnaes
    Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
  • B. Teron
    Teron is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
  • C. Teno
    Teno is a Chilean municipality and town located in the Curicó Province of the Maule Region, known for its agricultural activities and rural character.
  • D. Talne
    Talne is a small city in central Ukraine known for its historical architecture and location within Cherkasy Oblast.
  • E. Teroenza
    Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
  • 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: Tenev
Triple: [Vladimir Tenev, familyName, Tenev]
Generated description
Tenev is a Bulgarian surname most notably associated with Vladimir Tenev, the co-founder of the financial services company Robinhood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tenev
Target entity description: Tenev is a Bulgarian surname most notably associated with Vladimir Tenev, the co-founder of the financial services company Robinhood.
  • A. Telnaes
    Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
  • B. Teron
    Teron is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
  • C. Teno
    Teno is a Chilean municipality and town located in the Curicó Province of the Maule Region, known for its agricultural activities and rural character.
  • D. Talne
    Talne is a small city in central Ukraine known for its historical architecture and location within Cherkasy Oblast.
  • E. Teroenza
    Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddc66448190948280fb0c8d390c completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456821988190971539b683f6c656 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff46f44b2c81909f65f0ab455c6549 completed May 9, 2026, 2:38 p.m.
NED2 Entity disambiguation (via description) batch_69ff477a63b48190a453cf669dfda228 completed May 9, 2026, 2:40 p.m.
Created at: April 10, 2026, 4:10 a.m.