Triple

T14916134
Position Surface form Disambiguated ID Type / Status
Subject Knoll E371386 entity
Predicate hasSubsidiary P254 FINISHED
Object KnollTextiles E371386 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: KnollTextiles | Statement: [Knoll, hasSubsidiary, KnollTextiles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KnollTextiles
Context triple: [Knoll, hasSubsidiary, KnollTextiles]
  • A. Knoll chosen
    Knoll is an American design firm renowned for its modernist furniture and collaborations with iconic designers such as Eero Saarinen and Ludwig Mies van der Rohe.
  • B. Herman Miller
    Herman Miller was an American screenwriter best known for his work in film and television during the mid-20th century.
  • C. Herman Miller
    Herman Miller is an American furniture company renowned for its innovative, modern office and home furnishings, including iconic ergonomic chairs and mid-century designs.
  • D. The Knoll
    The Knoll is a residential neighbourhood located near Palacefields in the town of Runcorn, Cheshire, England.
  • E. Eames
    Eames is a charismatic and skilled forger in the film "Inception," known for his ability to impersonate others within shared dreamscapes.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62038508190946499cd3552990e completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e86ce888190b03056db39438701 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:31 a.m.