Triple

T3337011
Position Surface form Disambiguated ID Type / Status
Subject Zurich Film Festival E70161 entity
Predicate foundedBy P104 FINISHED
Object Nadja Schildknecht
Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
 E373604 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: Nadja Schildknecht | Statement: [Zurich Film Festival, foundedBy, Nadja Schildknecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nadja Schildknecht
Context triple: [Zurich Film Festival, foundedBy, Nadja Schildknecht]
  • A. Anja Tschimiakin
    Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
  • B. Johanna Hiedler
    Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
  • C. Katharina Gsell
    Katharina Gsell was the wife of the eminent Swiss mathematician Leonhard Euler and the daughter of Swiss painter Georg Gsell.
  • D. Julia Sauer
    Julia Sauer was an American librarian and author best known for her atmospheric children's fantasy and historical novels, including the Newbery Honor book "Fog Magic."
  • E. Angelika Dittrich
    Angelika Dittrich was the third wife of the famous Austrian composer Johann Strauss II.
  • 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: Nadja Schildknecht
Triple: [Zurich Film Festival, foundedBy, Nadja Schildknecht]
Generated description
Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nadja Schildknecht
Target entity description: Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
  • A. Anja Tschimiakin
    Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
  • B. Johanna Hiedler
    Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
  • C. Katharina Gsell
    Katharina Gsell was the wife of the eminent Swiss mathematician Leonhard Euler and the daughter of Swiss painter Georg Gsell.
  • D. Julia Sauer
    Julia Sauer was an American librarian and author best known for her atmospheric children's fantasy and historical novels, including the Newbery Honor book "Fog Magic."
  • E. Angelika Dittrich
    Angelika Dittrich was the third wife of the famous Austrian composer Johann Strauss II.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bad97481909359e914d44a1a74 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432ee11988190843e4b81500b65ca completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b435bbe10c81908b767265371c1b53 completed March 13, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69b4396462548190ab0a17931c198bd7 completed March 13, 2026, 4:20 p.m.
Created at: March 8, 2026, 3:12 p.m.