Triple

T16172355
Position Surface form Disambiguated ID Type / Status
Subject Jacob Cats E392469 entity
Predicate child P120 FINISHED
Object Johan Cats
Johan Cats was a son of the prominent Dutch poet, jurist, and statesman Jacob Cats.
E1200395 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: Johan Cats | Statement: [Jacob Cats, child, Johan Cats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johan Cats
Context triple: [Jacob Cats, child, Johan Cats]
  • A. Johan van der Mey
    Johan van der Mey was a Dutch architect best known as one of the leading figures and early pioneers of the Amsterdam School movement in architecture.
  • B. Frederik Kortlandt
    Frederik Kortlandt is a Dutch linguist and Indo-Europeanist known for his influential and often controversial work on the reconstruction of Proto-Indo-European and the relationships among its daughter branches.
  • C. Maarten ’t Hart
    Maarten ’t Hart is a Dutch writer and biologist known for his psychologically rich novels and essays, often drawing on his strict religious upbringing and love of classical music.
  • D. Leo Geurts
    Leo Geurts was a Dutch computer scientist known for co-developing the ABC programming language, an influential precursor to Python.
  • E. Daniël Stalpaert
    Daniël Stalpaert was a 17th-century Dutch architect and city planner known for his influential role in shaping Amsterdam’s urban landscape.
  • 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: Johan Cats
Triple: [Jacob Cats, child, Johan Cats]
Generated description
Johan Cats was a son of the prominent Dutch poet, jurist, and statesman Jacob Cats.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Johan Cats
Target entity description: Johan Cats was a son of the prominent Dutch poet, jurist, and statesman Jacob Cats.
  • A. Johan van der Mey
    Johan van der Mey was a Dutch architect best known as one of the leading figures and early pioneers of the Amsterdam School movement in architecture.
  • B. Frederik Kortlandt
    Frederik Kortlandt is a Dutch linguist and Indo-Europeanist known for his influential and often controversial work on the reconstruction of Proto-Indo-European and the relationships among its daughter branches.
  • C. Maarten ’t Hart
    Maarten ’t Hart is a Dutch writer and biologist known for his psychologically rich novels and essays, often drawing on his strict religious upbringing and love of classical music.
  • D. Leo Geurts
    Leo Geurts was a Dutch computer scientist known for co-developing the ABC programming language, an influential precursor to Python.
  • E. Daniël Stalpaert
    Daniël Stalpaert was a 17th-century Dutch architect and city planner known for his influential role in shaping Amsterdam’s urban landscape.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb88c948190a1d8b5518694ad53 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000785fcd481909ddf92cf9cc5c0aa completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00086c32c48190b7cf3ef2a97c7c9f completed May 10, 2026, 4:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0008dbeb988190bbfb590f945ace02 completed May 10, 2026, 4:26 a.m.
Created at: April 10, 2026, 5:02 a.m.