Triple

T6324722
Position Surface form Disambiguated ID Type / Status
Subject Theo Francken E141834 entity
Predicate familyName P18 FINISHED
Object Francken E141834 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: Francken | Statement: [Theo Francken, familyName, Francken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francken
Context triple: [Theo Francken, familyName, Francken]
  • A. Theo Francken chosen
    Theo Francken is a Belgian politician known for his hardline stance on immigration and prominent role within the New Flemish Alliance (N-VA).
  • B. Theodoor Rombouts
    Theodoor Rombouts was a prominent Flemish Baroque painter known for his dynamic Caravaggesque genre scenes and dramatic use of light and shadow.
  • C. Frederik Bloemaert
    Frederik Bloemaert was a 17th-century Dutch engraver and printmaker known for reproducing and disseminating the paintings and designs of his father, Abraham Bloemaert.
  • D. Michiel van Mierevelt
    Michiel van Mierevelt was a prominent Dutch Golden Age portrait painter known for his depictions of leading political and cultural figures of the Dutch Republic.
  • E. Frans Snyders
    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.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e538ac81908c5d7556513c2bc3 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6040b1e0481908095decce40107b4 completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:29 p.m.