Triple

T22263157
Position Surface form Disambiguated ID Type / Status
Subject Michael Graves E550279 entity
Predicate designedFor P98 FINISHED
Object Target Corporation 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: Target Corporation | Statement: [Michael Graves, designedFor, Target Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Target Corporation
Context triple: [Michael Graves, designedFor, Target Corporation]
  • A. Target Corporation chosen
    Target Corporation is a major American big-box retail chain known for its broad selection of affordable, stylish merchandise and nationwide presence.
  • B. J. C. Penney
    J. C. Penney was an American businessman and entrepreneur best known as the founder of the JCPenney department store chain.
  • C. Sears Holdings Corporation
    Sears Holdings Corporation was an American retail holding company formed in 2005 that became the parent of Sears and Kmart before ultimately declining into bankruptcy.
  • D. Kmart Corporation
    Kmart Corporation is a U.S.-based discount retail chain that became part of Sears Holdings after merging with Sears, Roebuck & Co.
  • E. TJX Companies
    TJX Companies is a major American off-price retail corporation that operates popular discount apparel and home goods chains worldwide.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141b94a688190b17c55477993a745 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.