Triple

T12564032
Position Surface form Disambiguated ID Type / Status
Subject Snyders E295421 entity
Predicate hasNotableBearer P458 FINISHED
Object Frans Snyders E161294 NE FINISHED

How this triple was built (2 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: Frans Snyders | Statement: [Snyders, hasNotableBearer, Frans Snyders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frans Snyders
Context triple: [Snyders, hasNotableBearer, Frans Snyders]
  • A. Frans Snyders chosen
    Frans Snyders was a prominent Flemish Baroque painter renowned for his dynamic still lifes, animal scenes, and hunting compositions, often collaborating with leading artists of his time.
  • B. Pieter Snyers
    Pieter Snyers was a Flemish Baroque painter known for his still lifes and genre scenes in 17th-century Antwerp.
  • C. Theo Francken
    Theo Francken is a Belgian politician known for his hardline stance on immigration and prominent role within the New Flemish Alliance (N-VA).
  • D. Laurens Vancrevel
    Laurens Vancrevel is a Dutch poet and writer associated with international surrealism and experimental literature.
  • E. Hendrick Aerts
    Hendrick Aerts was a late 16th- to early 17th-century Flemish painter known for his detailed architectural and perspective scenes that influenced later specialists in architectural painting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: April 8, 2026, 11:49 p.m.