Triple

T22240277
Position Surface form Disambiguated ID Type / Status
Subject Pinault-Printemps-Redoute E549699 entity
Predicate acquiredCompany P16131 FINISHED
Object Balenciaga 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: Balenciaga | Statement: [Pinault-Printemps-Redoute, acquiredCompany, Balenciaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balenciaga
Context triple: [Pinault-Printemps-Redoute, acquiredCompany, Balenciaga]
  • A. Balenciaga chosen
    Balenciaga is a luxury French fashion house renowned for its avant-garde, architectural designs and influential role in high fashion.
  • B. Saint Laurent
    Saint Laurent is a luxury French fashion house renowned for its high-end ready-to-wear, leather goods, shoes, and accessories.
  • C. Balmain
    Balmain is a French luxury fashion house renowned for its opulent, sharply tailored designs and influential presence on international runways.
  • D. Balmain
    Balmain is a historic inner-west suburb of Sydney, Australia, known for its waterfront location on Sydney Harbour, preserved Victorian architecture, and vibrant pub and café culture.
  • E. Prada
    Prada is a small commune in the Pyrénées-Orientales department of southern France, known for its Catalan cultural heritage and scenic location in the Têt River valley.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132133b908190b0fb32a5ee68e1e6 completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.