Triple

T368827
Position Surface form Disambiguated ID Type / Status
Subject Plan White E8222 entity
Predicate hasAlternativeName P39 FINISHED
Object Case White E6218 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: Case White | Statement: [Plan White, hasAlternativeName, Case White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Case White
Context triple: [Plan White, hasAlternativeName, Case White]
  • A. Case White chosen
    Case White was the German codename for the 1939 invasion of Poland that marked the beginning of World War II in Europe.
  • B. Tiffany Blue
    Tiffany Blue is the distinctive light robin’s-egg blue color trademarked and famously used by the luxury jewelry brand Tiffany & Co.
  • C. Blue
    Blue is a critically acclaimed 1971 folk album by Joni Mitchell, widely regarded as one of the greatest and most influential records in popular music history.
  • D. Case Blue
    Case Blue was the German Wehrmacht’s 1942 summer offensive on the Eastern Front aimed at seizing the oil-rich Caucasus and advancing toward Stalingrad during World War II.
  • E. Weisser Clevner
    Weisser Clevner is a white wine grape variety better known internationally as Chardonnay, one of the world’s most widely planted and versatile wine grapes.
  • 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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebeab13c8190b15c2f10310ec6a8 completed Feb. 28, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3ecaaf780819081db5cfbe8af0894 completed March 1, 2026, 7:37 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.