Triple

T2314072
Position Surface form Disambiguated ID Type / Status
Subject Lambert Meertens E51022 entity
Predicate familyName P18 FINISHED
Object Meertens
Meertens is a Dutch surname most notably associated with computer scientist Lambert Meertens, a key contributor to programming language design.
 E255545 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: Meertens | Statement: [Lambert Meertens, familyName, Meertens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meertens
Context triple: [Lambert Meertens, familyName, Meertens]
  • A. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • B. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • C. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • D. Korte Niezel
    Korte Niezel is a narrow street in Amsterdam’s historic city center, located in the Red Light District near the Oudezijds Voorburgwal canal.
  • E. Wolthusen
    Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
  • 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: Meertens
Triple: [Lambert Meertens, familyName, Meertens]
Generated description
Meertens is a Dutch surname most notably associated with computer scientist Lambert Meertens, a key contributor to programming language design.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meertens
Target entity description: Meertens is a Dutch surname most notably associated with computer scientist Lambert Meertens, a key contributor to programming language design.
  • A. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • B. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • C. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • D. Korte Niezel
    Korte Niezel is a narrow street in Amsterdam’s historic city center, located in the Red Light District near the Oudezijds Voorburgwal canal.
  • E. Wolthusen
    Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc61c1ef08190911d5f58c2e91189 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae895f5420819087b403e9772dce9a completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8af65eb88190b17d74e7411967cc completed March 9, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_69ae8ba02cec8190917c0e17d3fedb0e completed March 9, 2026, 8:58 a.m.
Created at: March 4, 2026, 7:49 p.m.