Triple

T4889646
Position Surface form Disambiguated ID Type / Status
Subject Meindert Hobbema E109526 entity
Predicate givenName P17 FINISHED
Object Meindert
Meindert is a Dutch given name best known for its association with the 17th-century landscape painter Meindert Hobbema.
 E477712 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: Meindert | Statement: [Meindert Hobbema, givenName, Meindert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meindert
Context triple: [Meindert Hobbema, givenName, Meindert]
  • 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. Michiel
    Michiel is a Dutch given name most famously borne by the 17th-century admiral Michiel de Ruyter.
  • C. 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.
  • D. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • E. Maarten
    Maarten is a Dutch masculine given name, historically borne by notable figures such as the 17th-century admiral Maarten Tromp.
  • 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: Meindert
Triple: [Meindert Hobbema, givenName, Meindert]
Generated description
Meindert is a Dutch given name best known for its association with the 17th-century landscape painter Meindert Hobbema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meindert
Target entity description: Meindert is a Dutch given name best known for its association with the 17th-century landscape painter Meindert Hobbema.
  • 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. Michiel
    Michiel is a Dutch given name most famously borne by the 17th-century admiral Michiel de Ruyter.
  • C. 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.
  • D. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • E. Maarten
    Maarten is a Dutch masculine given name, historically borne by notable figures such as the 17th-century admiral Maarten Tromp.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e06a81881908734dbdc350a2039 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681704f08190938aec498d7d4662 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6d3127448190ab7a967ab78820a4 completed March 21, 2026, 10:04 a.m.
NED2 Entity disambiguation (via description) batch_69be6dd42bc08190ba4561f74ca7733b completed March 21, 2026, 10:07 a.m.
Created at: March 20, 2026, 1:28 p.m.