Triple

T6076149
Position Surface form Disambiguated ID Type / Status
Subject Hans Scholl E135404 entity
Predicate memberOf P10 FINISHED
Object White Rose E558216 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: White Rose | Statement: [Hans Scholl, memberOf, White Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Rose
Context triple: [Hans Scholl, memberOf, White Rose]
  • A. White Rose
    White Rose is a major offshore oil field located in the North Atlantic off the coast of Newfoundland and Labrador, Canada.
  • B. Weiße Rose chosen
    Weiße Rose is the German name for the White Rose, a non-violent resistance group of students and a professor in Nazi Germany known for distributing anti-regime leaflets.
  • C. The Girl
    The Girl is a biographical drama film in which Sienna Miller portrays actress Tippi Hedren and explores Alfred Hitchcock’s obsessive relationship with his leading lady during the making of The Birds and Marnie.
  • D. The Roses
    The Roses is a nickname for Portland Thorns FC, a prominent National Women's Soccer League club based in Portland, Oregon.
  • E. Prater Violet
    Prater Violet is a short 1945 novel by Christopher Isherwood that blends satire and introspection in its portrayal of a screenwriter working on a film in pre–World War II Europe.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575ec63081908a868a41855acf73 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d43f7908190845c2337cd243a3c completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:11 p.m.