Triple

T3753343
Position Surface form Disambiguated ID Type / Status
Subject David Hilbert E81383 entity
Predicate child P120 FINISHED
Object Franz Hilbert E81383 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: Franz Hilbert | Statement: [David Hilbert, child, Franz Hilbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franz Hilbert
Context triple: [David Hilbert, child, Franz Hilbert]
  • A. Franz Hilbert chosen
    Franz Hilbert was the son of the influential German mathematician David Hilbert.
  • B. Theodor Fischer
    Theodor Fischer was a prominent German architect and urban planner known for shaping early 20th-century German architecture and influencing modern design movements.
  • C. Eduard Knoblauch
    Eduard Knoblauch was a 19th-century German architect known for his influential role in shaping Berlin’s architectural landscape, including notable public and cultural buildings.
  • D. Hermann Henselmann
    Hermann Henselmann was a prominent East German architect best known for shaping the socialist architectural landscape of Berlin during the mid-20th century.
  • E. Otto Förschner
    Otto Förschner was an SS officer who served as a commandant of Nazi concentration camps during World War II and was later tried and executed for war crimes.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb9340e0819083215989718b4598 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ccbd5d671481908ecbdb8ce6ef898a completed April 1, 2026, 6:38 a.m.
Created at: March 8, 2026, 3:35 p.m.