Triple

T22336313
Position Surface form Disambiguated ID Type / Status
Subject Sven Groeneveld E552154 entity
Predicate hasWorkedWith P9615 FINISHED
Object Andrei Pavel
Andrei Pavel is a retired Romanian professional tennis player known for his powerful baseline game and for winning the 2001 Canadian Open.
 E1530648 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: Andrei Pavel | Statement: [Sven Groeneveld, hasWorkedWith, Andrei Pavel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andrei Pavel
Context triple: [Sven Groeneveld, hasWorkedWith, Andrei Pavel]
  • A. Vlad Sepetov
    Vlad Sepetov is a graphic designer best known for creating the distinctive album artwork for Kendrick Lamar’s critically acclaimed projects, including *To Pimp a Butterfly*.
  • B. Vlad Popov
    Vlad Popov is a figure connected to Gleb Vaganov, likely within a shared professional or creative field.
  • C. Bogdan Tofan
    Bogdan Tofan is a Romanian architect known for his role in designing the monumental People’s Salvation Cathedral in Bucharest.
  • D. Mihail Romniceanu
    Mihail Romniceanu was a Romanian political figure known for being imprisoned as a notable inmate at the Râmnicu Sărat Prison during the communist era.
  • E. Andrei Voronkov
    Andrei Voronkov is a computer scientist known for his influential work in automated reasoning and theorem proving.
  • 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: Andrei Pavel
Triple: [Sven Groeneveld, hasWorkedWith, Andrei Pavel]
Generated description
Andrei Pavel is a retired Romanian professional tennis player known for his powerful baseline game and for winning the 2001 Canadian Open.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andrei Pavel
Target entity description: Andrei Pavel is a retired Romanian professional tennis player known for his powerful baseline game and for winning the 2001 Canadian Open.
  • A. Vlad Sepetov
    Vlad Sepetov is a graphic designer best known for creating the distinctive album artwork for Kendrick Lamar’s critically acclaimed projects, including *To Pimp a Butterfly*.
  • B. Vlad Popov
    Vlad Popov is a figure connected to Gleb Vaganov, likely within a shared professional or creative field.
  • C. Bogdan Tofan
    Bogdan Tofan is a Romanian architect known for his role in designing the monumental People’s Salvation Cathedral in Bucharest.
  • D. Mihail Romniceanu
    Mihail Romniceanu was a Romanian political figure known for being imprisoned as a notable inmate at the Râmnicu Sărat Prison during the communist era.
  • E. Andrei Voronkov
    Andrei Voronkov is a computer scientist known for his influential work in automated reasoning and theorem proving.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577f2f208190ac6270ac4581fa15 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad52b995c819099fe22fe76e780ee completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad993b9188190aacf482038b3cd29 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0ada0cef848190864a88d7baa24a81 completed May 18, 2026, 9:21 a.m.
Created at: April 16, 2026, 8:43 p.m.