Triple

T9244298
Position Surface form Disambiguated ID Type / Status
Subject Fanny Hensel E222147 entity
Predicate child P120 FINISHED
Object Sebastian Ludwig Felix Hensel E786899 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: Sebastian Ludwig Felix Hensel | Statement: [Fanny Hensel, child, Sebastian Ludwig Felix Hensel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebastian Ludwig Felix Hensel
Context triple: [Fanny Hensel, child, Sebastian Ludwig Felix Hensel]
  • A. Wilhelm Hensel chosen
    Wilhelm Hensel was a 19th-century German portrait painter and draughtsman associated with the Berlin art scene and the Mendelssohn family circle.
  • B. Ferdinand David
    Ferdinand David was a 19th-century German violinist, composer, and influential concertmaster closely associated with Felix Mendelssohn and the Leipzig Gewandhaus Orchestra.
  • C. Walter Schumann
    Walter Schumann was an American composer and conductor best known for creating the iconic theme music for the television series Dragnet.
  • D. Carl Reinecke
    Carl Reinecke was a 19th-century German composer, conductor, pianist, and influential music educator associated with the Leipzig Conservatory.
  • E. Alfred Koerner
    Alfred Koerner was an architect known for his work on the Berlin Botanical Garden.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03edd37481908ea2f6dac354f04f completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bca80a481908038fee287989a54 completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:30 p.m.