Triple

T5197314
Position Surface form Disambiguated ID Type / Status
Subject Abraham Bloemaert E117302 entity
Predicate notableStudent P4838 FINISHED
Object Jan Both
Jan Both was a Dutch Golden Age landscape painter known for his Italianate scenes bathed in warm, atmospheric light.
E500973 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: Jan Both | Statement: [Abraham Bloemaert, notableStudent, Jan Both]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Both
Context triple: [Abraham Bloemaert, notableStudent, Jan Both]
  • A. Lange Niezel
    Lange Niezel is a narrow historic street in central Amsterdam’s Red Light District, known for its mix of tourist shops, bars, and traditional Dutch architecture.
  • B. Jan D'Alquen
    Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
  • C. Marius de Vries
    Marius de Vries is a British composer, producer, and arranger known for his innovative work on film soundtracks and collaborations with prominent pop and electronic artists.
  • D. Ben Louw
    Ben Louw is an individual notable enough to be specifically cited as a prominent bearer of the surname Louw.
  • E. Jan Janssen
    Jan Janssen is a Dutch former professional cyclist best known as the first Dutch winner of the Tour de France, which he won in 1968.
  • 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: Jan Both
Triple: [Abraham Bloemaert, notableStudent, Jan Both]
Generated description
Jan Both was a Dutch Golden Age landscape painter known for his Italianate scenes bathed in warm, atmospheric light.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jan Both
Target entity description: Jan Both was a Dutch Golden Age landscape painter known for his Italianate scenes bathed in warm, atmospheric light.
  • A. Lange Niezel
    Lange Niezel is a narrow historic street in central Amsterdam’s Red Light District, known for its mix of tourist shops, bars, and traditional Dutch architecture.
  • B. Jan D'Alquen
    Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
  • C. Marius de Vries
    Marius de Vries is a British composer, producer, and arranger known for his innovative work on film soundtracks and collaborations with prominent pop and electronic artists.
  • D. Ben Louw
    Ben Louw is an individual notable enough to be specifically cited as a prominent bearer of the surname Louw.
  • E. Jan Janssen
    Jan Janssen is a Dutch former professional cyclist best known as the first Dutch winner of the Tour de France, which he won in 1968.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a1dbf7881909ed596ffdd1219bb completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee09d84f08190b8270394fc35e195 completed March 21, 2026, 6:17 p.m.
NEDg Description generation batch_69bee5b5c6688190ab4dcdcf50424436 completed March 21, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_69bee67364588190b5d8f31af7adf1f4 completed March 21, 2026, 6:41 p.m.
Created at: March 20, 2026, 1:46 p.m.