Triple

T3083656
Position Surface form Disambiguated ID Type / Status
Subject Bep Voskuijl E64316 entity
Predicate nickname P55 FINISHED
Object Bep
Bep is the nickname of Bep Voskuijl, one of the Dutch helpers who aided Anne Frank and her family during their time in hiding.
 E325087 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: Bep | Statement: [Bep Voskuijl, nickname, Bep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bep
Context triple: [Bep Voskuijl, nickname, Bep]
  • A. BEP
    BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
  • B. Bek
    Bek is a short or informal given name, typically used as a diminutive of Rebekah.
  • C. Be
    "Be" is the critically acclaimed 2005 hip-hop album by Chicago rapper Common, celebrated for its soulful production by Kanye West and J Dilla and its introspective, socially conscious lyrics.
  • D. Bebot
    "Bebot" is a song by the Black Eyed Peas that blends hip hop with Filipino cultural themes and language.
  • E. BEG
    BEG is the IATA airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
  • 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: Bep
Triple: [Bep Voskuijl, nickname, Bep]
Generated description
Bep is the nickname of Bep Voskuijl, one of the Dutch helpers who aided Anne Frank and her family during their time in hiding.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bep
Target entity description: Bep is the nickname of Bep Voskuijl, one of the Dutch helpers who aided Anne Frank and her family during their time in hiding.
  • A. BEP
    BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
  • B. Bek
    Bek is a short or informal given name, typically used as a diminutive of Rebekah.
  • C. Be
    "Be" is the critically acclaimed 2005 hip-hop album by Chicago rapper Common, celebrated for its soulful production by Kanye West and J Dilla and its introspective, socially conscious lyrics.
  • D. Bebot
    "Bebot" is a song by the Black Eyed Peas that blends hip hop with Filipino cultural themes and language.
  • E. BEG
    BEG is the IATA airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e877008190aacbd6f1357bdb9b completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89b650c8190983a00e37a42a794 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f992a8ec8190b3e37dddd93ac57b completed March 11, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69b1f9f759408190a4f2121078fe13cb completed March 11, 2026, 11:25 p.m.
Created at: March 8, 2026, 3:03 p.m.