Triple

T9768068
Position Surface form Disambiguated ID Type / Status
Subject Lissy Gerhardt E237048 entity
Predicate familyName P18 FINISHED
Object Gerhardt E576174 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: Gerhardt | Statement: [Lissy Gerhardt, familyName, Gerhardt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerhardt
Context triple: [Lissy Gerhardt, familyName, Gerhardt]
  • A. Gerhardt chosen
    Gerhardt is a German-origin surname borne by various individuals and families, often associated with Central European heritage.
  • B. Gottsched
    Gottsched was an 18th-century German literary critic and reformer whose rationalist poetics and efforts to standardize the German language significantly shaped early German Enlightenment literature.
  • C. Gottfried
    Gottfried is the given name of Johann Gottfried Herder, an influential 18th-century German philosopher, theologian, and literary critic associated with the Sturm und Drang movement and early Romanticism.
  • D. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • E. Moritz
    Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a2da648190836916a45d2998d7 completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcfffa6081909f61c66357765d8d completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:25 p.m.