Triple

T10553760
Position Surface form Disambiguated ID Type / Status
Subject Beauty Shop E249021 entity
Predicate title P38 FINISHED
Object Beauty Shop E249021 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: Beauty Shop | Statement: [Beauty Shop, title, Beauty Shop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beauty Shop
Context triple: [Beauty Shop, title, Beauty Shop]
  • A. Beauty Shop chosen
    Beauty Shop is a 2005 comedy film centered on a determined hairstylist who opens her own salon, featuring an ensemble cast and a spin-off connection to the Barbershop film series.
  • B. Parfumerie
    Parfumerie is a 1937 romantic play by Hungarian writer Miklós László about two feuding co-workers who are unknowingly anonymous pen-pal lovers, which has inspired several film adaptations.
  • C. Cutlass Salon
    Cutlass Salon is a higher-trim, more luxurious and comfort-oriented version of the Oldsmobile Cutlass mid-size car produced in the 1970s and 1980s.
  • D. Sephora
    Sephora is a global beauty retail chain known for its wide selection of cosmetics, skincare, and fragrance brands and its experiential, try-before-you-buy store concept.
  • E. Sephora
    Sephora is a character in the 1956 biblical epic film "The Ten Commandments," depicted as Moses' Midianite wife Zipporah.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d52710869c81909b6db1a190825bad completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9346f6a38819087647e7a09f40c41 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:34 p.m.