Triple

T13485658
Position Surface form Disambiguated ID Type / Status
Subject Erhard E318493 entity
Predicate hasVariant P455 FINISHED
Object Erhart
Erhart is a German given name and surname, historically associated with medieval and early modern Central Europe.
E1042080 NE FINISHED

How this triple was built (4 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: Erhart | Statement: [Erhard, hasVariant, Erhart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erhart
Context triple: [Erhard, hasVariant, Erhart]
  • A. Herta Ware
    Herta Ware was an American actress and political activist known for her work in film, television, and theater, as well as for her long marriage to actor Will Geer.
  • B. Christa
    Christa was the first name of Christa McAuliffe, the American teacher and astronaut selected as the first private citizen to fly in space.
  • C. Aurelia Ertl
    Aurelia Ertl was the wife of German-Bolivian cinematographer and mountaineer Hans Ertl.
  • D. Barbara Havelone
    Barbara Havelone is best known as the wife of American actor Lee Van Cleef, a prominent figure in classic Western films.
  • E. Barbara Kagi
    Barbara Kagi was a 19th-century American woman known primarily as the sister of abolitionist John Henry Kagi, a close associate of John Brown.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Erhart
Triple: [Erhard, hasVariant, Erhart]
Generated description
Erhart is a German given name and surname, historically associated with medieval and early modern Central Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Erhart
Target entity description: Erhart is a German given name and surname, historically associated with medieval and early modern Central Europe.
  • A. Herta Ware
    Herta Ware was an American actress and political activist known for her work in film, television, and theater, as well as for her long marriage to actor Will Geer.
  • B. Christa
    Christa was the first name of Christa McAuliffe, the American teacher and astronaut selected as the first private citizen to fly in space.
  • C. Aurelia Ertl
    Aurelia Ertl was the wife of German-Bolivian cinematographer and mountaineer Hans Ertl.
  • D. Barbara Havelone
    Barbara Havelone is best known as the wife of American actor Lee Van Cleef, a prominent figure in classic Western films.
  • E. Barbara Kagi
    Barbara Kagi was a 19th-century American woman known primarily as the sister of abolitionist John Henry Kagi, a close associate of John Brown.
  • F. None of above. chosen

Provenance (5 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3a15b48190b63fb59e926a97ae completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463715dc8190a70a17b3ea661006 completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74bac36e081909dae786e14883e3c completed May 3, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_69f74c5195188190bad111b301713426 completed May 3, 2026, 1:23 p.m.
Created at: April 9, 2026, 9:42 p.m.