Triple

T15252807
Position Surface form Disambiguated ID Type / Status
Subject Michael Ballhaus E364560 entity
Predicate familyName P18 FINISHED
Object Ballhaus E543107 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: Ballhaus | Statement: [Michael Ballhaus, familyName, Ballhaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballhaus
Context triple: [Michael Ballhaus, familyName, Ballhaus]
  • A. Ballhaus chosen
    Ballhaus is a German surname most notably associated with a family of prominent cinematographers, including Michael and Florian Ballhaus.
  • B. Looshaus
    Looshaus is a pioneering early modernist building in Vienna, Austria, designed by architect Adolf Loos and renowned for its radical rejection of ornament.
  • C. Schillinger House
    Schillinger House was the original name of what became Berklee College of Music, an influential institution in contemporary music education founded in Boston in the mid-20th century.
  • D. Müller House
    Müller House is a seminal modernist villa in Prague designed by architect Adolf Loos, renowned for its minimalist exterior and innovative Raumplan interior layout.
  • E. Stangenwald Building
    The Stangenwald Building is a historic early skyscraper in downtown Honolulu, Hawaii, noted for its architectural significance and role in the city’s commercial development.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f728648190b2c86e4528542b65 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f390bc8190bc0180c118e1523c completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:13 a.m.