Triple

T11365087
Position Surface form Disambiguated ID Type / Status
Subject Olivier Assayas E269181 entity
Predicate directed P7373 FINISHED
Object Personal Shopper E357389 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: Personal Shopper | Statement: [Olivier Assayas, directed, Personal Shopper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Personal Shopper
Context triple: [Olivier Assayas, directed, Personal Shopper]
  • A. Personal Shopper chosen
    Personal Shopper is a 2016 psychological thriller film directed by Olivier Assayas, in which Kristen Stewart plays a grieving medium working in Paris while confronting both supernatural and personal hauntings.
  • B. Bag Lady
    "Bag Lady" is a neo-soul song by Erykah Badu, known for its mellow groove and empowering message about letting go of emotional baggage.
  • C. Concierge
    Concierge is the highest elite membership tier in Aer Lingus’s AerClub frequent flyer program, offering premium benefits and personalized services to its most loyal customers.
  • D. Stitch Fix
    Stitch Fix is an online personal styling service and apparel retailer that uses data science and human stylists to curate and ship customized clothing selections to customers.
  • E. PINNER
    PINNER is a suburban area in the London Borough of Harrow, known for its residential character and village-like high street.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea4589908190948a8225768e1eec completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58bb3bd648190affa7ee85027c958 completed April 20, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:33 p.m.