Triple

T3433387
Position Surface form Disambiguated ID Type / Status
Subject Kristen Stewart E72389 entity
Predicate starredIn P1668 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: [Kristen Stewart, starredIn, Personal Shopper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Personal Shopper
Context triple: [Kristen Stewart, starredIn, 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. 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.
  • D. The Shop
    The Shop is the historic Royal Military Academy in Woolwich, London, which served as the British Army’s principal training institution for artillery and engineering officers.
  • E. Merchant
    Merchant is a shrewd, status-conscious businessman and storyteller in Geoffrey Chaucer’s The Canterbury Tales, known for his cynical views on marriage and concern with profit and appearance.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c1d9148190b873ba66d34d4f01 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360cbcb60819095a28e50cac5a4ca completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:15 p.m.