Triple

T3083663
Position Surface form Disambiguated ID Type / Status
Subject Bep Voskuijl E64316 entity
Predicate employer P7 FINISHED
Object Pectacon
Pectacon was a Dutch spice and food products company in Amsterdam where Bep Voskuijl worked during World War II and which was connected to the building housing Anne Frank’s hiding place.
 E296566 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: Pectacon | Statement: [Bep Voskuijl, employer, Pectacon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pectacon
Context triple: [Bep Voskuijl, employer, Pectacon]
  • A. Pectacon
    Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
  • B. Ornex
    Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • C. Spontex
    Spontex is a household cleaning products brand, best known for its sponges and related cleaning tools, owned by Newell Brands.
  • D. P-Nut
    P-Nut is the bassist best known for his work with the American rock band 311.
  • E. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • 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: Pectacon
Triple: [Bep Voskuijl, employer, Pectacon]
Generated description
Pectacon was a Dutch spice and food products company in Amsterdam where Bep Voskuijl worked during World War II and which was connected to the building housing Anne Frank’s hiding place.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pectacon
Target entity description: Pectacon was a Dutch spice and food products company in Amsterdam where Bep Voskuijl worked during World War II and which was connected to the building housing Anne Frank’s hiding place.
  • A. Pectacon chosen
    Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
  • B. Ornex
    Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • C. Spontex
    Spontex is a household cleaning products brand, best known for its sponges and related cleaning tools, owned by Newell Brands.
  • D. P-Nut
    P-Nut is the bassist best known for his work with the American rock band 311.
  • E. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • F. None of above.

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.