Triple

T5954416
Position Surface form Disambiguated ID Type / Status
Subject White Rose E132475 entity
Predicate hasMember P10 FINISHED
Object Kurt Huber E315092 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: Kurt Huber | Statement: [White Rose, hasMember, Kurt Huber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurt Huber
Context triple: [White Rose, hasMember, Kurt Huber]
  • A. Kurt Huber chosen
    Kurt Huber was a German philosophy and psychology professor best known for his role as a member of the White Rose resistance group against the Nazi regime.
  • B. Martin Max
    Martin Max is a former German professional footballer and prolific striker best known for his goal-scoring exploits in the Bundesliga.
  • C. Hubertus
    Hubertus is a masculine given name of Germanic origin, commonly used in various European countries.
  • D. Felix Krull
    Felix Krull is the charming, quick-witted con artist and social climber who narrates Thomas Mann’s picaresque novel "The Confessions of Felix Krull."
  • E. Joseph Trumpeldor
    Joseph Trumpeldor was a prominent early Zionist leader and war hero, celebrated for his pioneering role in Jewish self-defense and settlement in pre-state Israel.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c054a48190ace32250c43e29b4 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1082d00308190a8e92bb633e7f292 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:02 p.m.