Triple

T12811860
Position Surface form Disambiguated ID Type / Status
Subject Virginia Weidler E306290 entity
Predicate familyName P18 FINISHED
Object Weidler
Weidler is a surname most notably associated with American child actress Virginia Weidler, who appeared in numerous Hollywood films of the 1930s and 1940s.
 E1005510 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: Weidler | Statement: [Virginia Weidler, familyName, Weidler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weidler
Context triple: [Virginia Weidler, familyName, Weidler]
  • A. Eidinger
    Eidinger is a German surname most notably borne by actor Lars Eidinger, known for his work in film, television, and theater.
  • B. Seidler
    Seidler is a surname most notably associated with British-American screenwriter David Seidler, known for writing the film "The King's Speech."
  • C. Oberhauser
    Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
  • D. Edelmann
    Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
  • E. Lorscheider
    Lorscheider is a German-origin surname notably borne by Brazilian Cardinal Aloísio Lorscheider.
  • 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: Weidler
Triple: [Virginia Weidler, familyName, Weidler]
Generated description
Weidler is a surname most notably associated with American child actress Virginia Weidler, who appeared in numerous Hollywood films of the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weidler
Target entity description: Weidler is a surname most notably associated with American child actress Virginia Weidler, who appeared in numerous Hollywood films of the 1930s and 1940s.
  • A. Eidinger
    Eidinger is a German surname most notably borne by actor Lars Eidinger, known for his work in film, television, and theater.
  • B. Seidler
    Seidler is a surname most notably associated with British-American screenwriter David Seidler, known for writing the film "The King's Speech."
  • C. Oberhauser
    Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
  • D. Edelmann
    Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
  • E. Lorscheider
    Lorscheider is a German-origin surname notably borne by Brazilian Cardinal Aloísio Lorscheider.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9adcf08190a12801adcc613477 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eca9b448190a819b3807fdbc3f8 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f69277d3d88190abce800c01a8026c completed May 3, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69f6938150608190a61206cefa3eca1e completed May 3, 2026, 12:14 a.m.
Created at: April 9, 2026, 5:31 p.m.