Triple

T12564030
Position Surface form Disambiguated ID Type / Status
Subject Snyders E295421 entity
Predicate isVariantSpellingOf P457 FINISHED
Object Snijder
Snijder is a Dutch surname, historically associated with the occupation of tailoring and borne by various individuals in the Netherlands and abroad.
 E991298 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: Snijder | Statement: [Snyders, isVariantSpellingOf, Snijder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Snijder
Context triple: [Snyders, isVariantSpellingOf, Snijder]
  • A. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • B. Sjaalman
    Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
  • C. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • D. Scheur
    Scheur is a distributary branch of the Rhine–Meuse river system in the Netherlands that serves as an important shipping route in the Port of Rotterdam area.
  • E. Sander Jacobs
    Sander Jacobs is a film and television producer known for his work on the acclaimed musical film adaptation of "Hamilton."
  • 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: Snijder
Triple: [Snyders, isVariantSpellingOf, Snijder]
Generated description
Snijder is a Dutch surname, historically associated with the occupation of tailoring and borne by various individuals in the Netherlands and abroad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Snijder
Target entity description: Snijder is a Dutch surname, historically associated with the occupation of tailoring and borne by various individuals in the Netherlands and abroad.
  • A. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • B. Sjaalman
    Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
  • C. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • D. Scheur
    Scheur is a distributary branch of the Rhine–Meuse river system in the Netherlands that serves as an important shipping route in the Port of Rotterdam area.
  • E. Sander Jacobs
    Sander Jacobs is a film and television producer known for his work on the acclaimed musical film adaptation of "Hamilton."
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95494ae1c81908b9ee14b8ef92a65 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558da7e0819086860bfaf394e2d8 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f65a0f1b2881908a7cb21c9de1a5c2 completed May 2, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_69f65ad4424c8190933759cca5d73c22 completed May 2, 2026, 8:13 p.m.
Created at: April 8, 2026, 11:49 p.m.