Triple

T442635
Position Surface form Disambiguated ID Type / Status
Subject Rand-Whitney Group E10145 entity
Predicate hasSubsidiary P254 FINISHED
Object Rand-Whitney Containerboard E10146 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: Rand-Whitney Containerboard | Statement: [Rand-Whitney Group, hasSubsidiary, Rand-Whitney Containerboard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rand-Whitney Containerboard
Context triple: [Rand-Whitney Group, hasSubsidiary, Rand-Whitney Containerboard]
  • A. Rand-Whitney Containerboard chosen
    Rand-Whitney Containerboard is a U.S.-based manufacturer of containerboard and corrugated packaging products, operating as part of the Kraft Group’s packaging and paper businesses.
  • B. International Paper
    International Paper is a leading global producer of renewable fiber-based packaging, pulp, and paper products.
  • C. Georgia-Pacific
    Georgia-Pacific is a major American pulp and paper company known for producing tissue, packaging, building products, and related chemicals.
  • D. International Forest Products
    International Forest Products is a global trading company specializing in the marketing and distribution of forest products such as paper, pulp, and lumber.
  • E. Eastman
    Eastman is a given name most notably associated with the 19th-century American painter Eastman Johnson, a co-founder of the Metropolitan Museum of Art.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef42b4008190abed9d79926c7022 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43e73555481909fc972eed3337945 completed March 1, 2026, 1:26 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.