Triple

T2326821
Position Surface form Disambiguated ID Type / Status
Subject Conrad Veidt E48305 entity
Predicate child P120 FINISHED
Object Vera Viola Maria Veidt
Vera Viola Maria Veidt was the daughter of renowned German actor Conrad Veidt.
E255121 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: Vera Viola Maria Veidt | Statement: [Conrad Veidt, child, Vera Viola Maria Veidt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vera Viola Maria Veidt
Context triple: [Conrad Veidt, child, Vera Viola Maria Veidt]
  • A. Judith Coppicus
    Judith Coppicus was the first wife of renowned film director Billy Wilder, to whom he was married in the 1930s before their eventual divorce.
  • B. Talia al Ghul
    Talia al Ghul is a key antagonist in DC Comics and related Batman adaptations, known as Ra's al Ghul's daughter who combines lethal combat skills, strategic brilliance, and a complex romantic history with Bruce Wayne.
  • C. Joan Valentine
    Joan Valentine is a quick-witted, resourceful young woman who works as a journalist and adventurer in P. G. Wodehouse’s comic fiction.
  • D. Vera
    Vera is a memorable supporting character from the 1989 Eddie Murphy film "Harlem Nights," known for her tough, comedic persona.
  • E. Vera
    Vera Rubin was an influential American astronomer whose pioneering work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • 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: Vera Viola Maria Veidt
Triple: [Conrad Veidt, child, Vera Viola Maria Veidt]
Generated description
Vera Viola Maria Veidt was the daughter of renowned German actor Conrad Veidt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vera Viola Maria Veidt
Target entity description: Vera Viola Maria Veidt was the daughter of renowned German actor Conrad Veidt.
  • A. Judith Coppicus
    Judith Coppicus was the first wife of renowned film director Billy Wilder, to whom he was married in the 1930s before their eventual divorce.
  • B. Talia al Ghul
    Talia al Ghul is a key antagonist in DC Comics and related Batman adaptations, known as Ra's al Ghul's daughter who combines lethal combat skills, strategic brilliance, and a complex romantic history with Bruce Wayne.
  • C. Joan Valentine
    Joan Valentine is a quick-witted, resourceful young woman who works as a journalist and adventurer in P. G. Wodehouse’s comic fiction.
  • D. Vera
    Vera is a memorable supporting character from the 1989 Eddie Murphy film "Harlem Nights," known for her tough, comedic persona.
  • E. Vera
    Vera Rubin was an influential American astronomer whose pioneering work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc64b62a08190b5a415769ce42645 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae897004308190bc2e335e9caea2ca completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8ace309c8190b57426d1449de723 completed March 9, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae8b56d8548190aa6a99f3f7d99c3e completed March 9, 2026, 8:56 a.m.
Created at: March 4, 2026, 7:50 p.m.