Triple

T5996522
Position Surface form Disambiguated ID Type / Status
Subject Blake Nordstrom E133482 entity
Predicate relative P37 FINISHED
Object John W. Nordstrom E4951 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: John W. Nordstrom | Statement: [Blake Nordstrom, relative, John W. Nordstrom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John W. Nordstrom
Context triple: [Blake Nordstrom, relative, John W. Nordstrom]
  • A. John W. Nordstrom chosen
    John W. Nordstrom was a Swedish-American businessman and co-founder of the Nordstrom department store chain in the United States.
  • B. Erik Nordstrom
    Erik Nordstrom is an American businessman who serves as a top executive and co-president of the Nordstrom department store chain.
  • C. Blake Nordstrom
    Blake Nordstrom was an American businessman who served as co-president of the Nordstrom department store chain and was a prominent member of the founding Nordstrom family.
  • D. Lenore Nordstrom
    Lenore Nordstrom is the central protagonist of the 1926 American silent comedy film "The Whole Town’s Talking," around whom the story’s romantic and comedic events revolve.
  • E. Fred F. Sears
    Fred F. Sears was an American film director and actor best known for his prolific work on low-budget genre films in the 1950s.
  • 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04e963f3c819082dd755e328ab947 completed March 22, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cd900a48190b5aa83c28b3dfc1a completed March 23, 2026, 10:58 a.m.
Created at: March 22, 2026, 4:05 p.m.