Triple

T11523911
Position Surface form Disambiguated ID Type / Status
Subject Günther Stern E273238 entity
Predicate name P16 FINISHED
Object Günther Stern E273238 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: Günther Stern | Statement: [Günther Stern, name, Günther Stern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Günther Stern
Context triple: [Günther Stern, name, Günther Stern]
  • A. Günther Stern chosen
    Günther Stern, later known as Günther Anders, was a German-Jewish philosopher and essayist noted for his critical writings on technology, modernity, and the human condition.
  • B. Heinrich Stern
    Heinrich Stern was a physician and medical leader best known for founding the American College of Physicians, a major professional organization for internists in the United States.
  • C. Gustav Weil
    Gustav Weil was a 19th-century German orientalist and historian known for his pioneering Arabic studies and early German translation of "One Thousand and One Nights."
  • D. Helmut Weiss
    Helmut Weiss was a German film director, screenwriter, and actor known for his work in mid-20th-century cinema, particularly during and after World War II.
  • E. Egon Brecher
    Egon Brecher was an Austrian-American actor and director known for his character roles in early 20th-century stage and Hollywood films.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd26648819083de19bcddf8ad69 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99742618819083bba63ce9f27895 completed May 9, 2026, 8:30 p.m.
Created at: April 8, 2026, 9:37 p.m.