Triple

T17944853
Position Surface form Disambiguated ID Type / Status
Subject Hunter Schafer E448676 entity
Predicate hasModeledFor P17880 FINISHED
Object Helmut Lang NE NERFINISHED

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: Helmut Lang | Statement: [Hunter Schafer, hasModeledFor, Helmut Lang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helmut Lang
Context triple: [Hunter Schafer, hasModeledFor, Helmut Lang]
  • A. Helmut Lang chosen
    Helmut Lang is an influential Austrian fashion label known for its minimalist, deconstructed designs that helped define 1990s and early-2000s contemporary fashion.
  • B. Karl Lagerfeld
    Karl Lagerfeld was a renowned German fashion designer, best known as the longtime creative director of Chanel and a major figure in luxury fashion.
  • C. Christian Lacroix
    Christian Lacroix is a renowned French fashion designer celebrated for his opulent, theatrical couture and bold use of color and pattern.
  • D. Fritz Fend
    Fritz Fend was a German engineer and inventor best known for creating innovative postwar microcars and three-wheeled vehicles, including the iconic Messerschmitt Kabinenroller.
  • E. Oliver Berben
    Oliver Berben is a German film and television producer known for his work on numerous high-profile projects, including international series such as the 2022 adaptation of Resident Evil.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad9819a88190ad4ea7d562cf3f28 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.