Triple

T6565976
Position Surface form Disambiguated ID Type / Status
Subject Schaeffer E153907 entity
Predicate variantOf P4680 FINISHED
Object Schaefer E153907 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: Schaefer | Statement: [Schaeffer, variantOf, Schaefer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schaefer
Context triple: [Schaeffer, variantOf, Schaefer]
  • A. Schaeffer chosen
    Schaeffer is a surname most prominently associated with Francis Schaeffer, a 20th-century American evangelical theologian, philosopher, and Presbyterian pastor known for his influential writings on Christianity and culture.
  • B. Schafer
    Schafer is a surname of German origin borne by various notable individuals across fields such as entertainment, sports, and academia.
  • C. Schäffer
    Schäffer is a German surname associated with various notable figures in politics, academia, and the arts.
  • D. Schechter
    Schechter is a Jewish surname most notably associated with Solomon Schechter, a prominent rabbi and scholar who helped shape Conservative Judaism.
  • E. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3cc05881908e943d3f7f8a2b1d completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d564cb908190bb8885e6c8d8abac completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:52 p.m.