Triple

T7298675
Position Surface form Disambiguated ID Type / Status
Subject Pattie Boyd E167785 entity
Predicate workedFor P1910 FINISHED
Object Mary Quant E639381 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: Mary Quant | Statement: [Pattie Boyd, workedFor, Mary Quant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Quant
Context triple: [Pattie Boyd, workedFor, Mary Quant]
  • A. Mary Quant chosen
    Mary Quant was a pioneering British fashion designer of the 1960s, widely credited with popularizing the miniskirt and shaping the look of the Swinging London era.
  • B. Diane von Fürstenberg
    Diane von Fürstenberg is a Belgian-born fashion designer best known for creating the iconic wrap dress and founding her eponymous global luxury brand.
  • C. Vivienne Westwood
    Vivienne Westwood was a pioneering British fashion designer known for shaping punk and new wave style and for her provocative, politically charged designs.
  • D. Diana Vreeland
    Diana Vreeland was a legendary fashion editor and style icon who shaped 20th-century fashion through her influential work at major magazines and as a consultant to the Metropolitan Museum of Art’s Costume Institute.
  • E. Sonia Rykiel
    Sonia Rykiel was a renowned French fashion designer celebrated for her chic knitwear, left-bank Parisian style, and influential eponymous label.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8f83c881909e8eae85410f9659 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e54c25c88190891311b72f242e86 completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3 p.m.