Triple

T2465016
Position Surface form Disambiguated ID Type / Status
Subject Karl von Rundstedt E55225 entity
Predicate hasGivenName P17 FINISHED
Object Gerd E44323 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: Gerd | Statement: [Karl von Rundstedt, hasGivenName, Gerd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerd
Context triple: [Karl von Rundstedt, hasGivenName, Gerd]
  • A. Gerd chosen
    Gerd is a masculine given name of German origin, commonly used in German-speaking countries.
  • B. Barrett
    Barrett is a common English and Irish surname borne by numerous notable individuals across politics, law, sports, and the arts.
  • C. Trioditis
    Trioditis is an epithet of the Greek goddess Hecate that emphasizes her association with crossroads and liminal spaces.
  • D. Gaulanitis
    Gaulanitis was an ancient region east of the Sea of Galilee, historically associated with the Golan area and mentioned in classical and biblical sources.
  • E. Gall
    Gall was a prominent 19th-century Hunkpapa Lakota war leader known for his key role in the Battle of the Little Bighorn alongside Sitting Bull and Crazy Horse.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1216f44819094c46ae7c2c1e394 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1799b530819095d828c9d4a9dc9c completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.