Triple

T13110667
Position Surface form Disambiguated ID Type / Status
Subject Vogt (advocate) E310961 entity
Predicate label P38 FINISHED
Object Vogt E857680 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: Vogt | Statement: [Vogt (advocate), label, Vogt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vogt
Context triple: [Vogt (advocate), label, Vogt]
  • A. Vogt chosen
    Vogt is a German-language surname borne by various notable figures in science, politics, and the arts.
  • B. Vogelmann
    Vogelmann is a German-language surname, likely originating as an occupational or descriptive name related to birds.
  • C. Fuchs
    Fuchs is a German surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • D. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • E. Witiges
    Witiges was a 6th-century king of the Ostrogoths best known for leading the Gothic resistance against the Eastern Roman Empire during the Gothic War in Italy.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817e4f408190b77c198b4157d77a completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27d8110819087ade3537f867ae0 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.