Triple

T7654947
Position Surface form Disambiguated ID Type / Status
Subject Barbara Brecht-Schall E173355 entity
Predicate sibling P363 FINISHED
Object Frank Banholzer E690838 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: Frank Banholzer | Statement: [Barbara Brecht-Schall, sibling, Frank Banholzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Banholzer
Context triple: [Barbara Brecht-Schall, sibling, Frank Banholzer]
  • A. Frank Banholzer chosen
    Frank Banholzer is a lesser-known relative of the German-American poet and theater critic Stefan Brecht, associated with the extended Brecht family.
  • B. Paul Biegler
    Paul Biegler is a small-town Michigan lawyer and the central protagonist of the courtroom drama novel and film "Anatomy of a Murder."
  • C. Robert Ochsenfeld
    Robert Ochsenfeld was a German physicist best known for co-discovering the Meissner effect, a fundamental phenomenon in superconductivity.
  • D. Frank Ellinger
    Frank Ellinger is a wealthy, sophisticated businessman and longtime admirer of Marian Forrester in Willa Cather’s novel "A Lost Lady," representing the allure and moral ambiguity of the changing American West.
  • E. Charles Schnee
    Charles Schnee was an American screenwriter and producer best known for his work on classic mid-20th-century Hollywood films, including several notable film noirs and dramas.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018d4cdc819092ca297b836190d9 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc931ce9b081908a58fb3a54492e60 completed April 1, 2026, 3:38 a.m.
Created at: March 27, 2026, 3:59 p.m.