Triple

T18085568
Position Surface form Disambiguated ID Type / Status
Subject Vivienne Westwood E432824 entity
Predicate designedFor P98 FINISHED
Object Sex (boutique) 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: Sex (boutique) | Statement: [Vivienne Westwood, designedFor, Sex (boutique)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sex (boutique)
Context triple: [Vivienne Westwood, designedFor, Sex (boutique)]
  • A. SEX boutique chosen
    SEX boutique was a provocative 1970s London clothing shop co-founded by Malcolm McLaren and Vivienne Westwood that became a key incubator for punk fashion and culture.
  • B. BOUTIQUE
    BOUTIQUE is the airline callsign used by Boutique Air, a U.S.-based commuter and charter airline.
  • C. La Senza
    La Senza is a Canadian-based lingerie and intimate apparel retailer known for its affordable, fashion-focused underwear and sleepwear collections.
  • D. The Lingerie Shop
    The Lingerie Shop is a comedic sketch from the British television series Monty Python's Flying Circus, known for its absurd and surreal humor.
  • E. Soma Intimates
    Soma Intimates is an American women’s lingerie and loungewear retailer known for its comfortable, body-inclusive bras, panties, sleepwear, and related apparel.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fdb00c8190b4769699e94c8941 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.