Triple

T18280379
Position Surface form Disambiguated ID Type / Status
Subject LB E437847 entity
Predicate associatedCompanyOwnedBrand P10460 FINISHED
Object Henri Bendel 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: Henri Bendel | Statement: [LB, associatedCompanyOwnedBrand, Henri Bendel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henri Bendel
Context triple: [LB, associatedCompanyOwnedBrand, Henri Bendel]
  • A. Henri Bendel chosen
    Henri Bendel was a historic New York City–based luxury specialty retailer known for its fashionable handbags, accessories, and signature brown-and-white striped branding.
  • B. Maurice Magnin
    Maurice Magnin was a French art collector and civil servant whose personal collection formed the basis of the Musée Magnin in Dijon.
  • C. Herman Bergdorf
    Herman Bergdorf was a German-born American tailor and businessman best known as the co-founder of the luxury department store Bergdorf Goodman in New York City.
  • D. R. H. Macy
    R. H. Macy was an American businessman and founder of the iconic Macy’s department store chain.
  • E. Henri Marchand
    Henri Marchand was an actor known for appearing in the French film "Fanfare of Love."
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50055d2b88190a10199771f64c4b9 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.