Triple

T20339042
Position Surface form Disambiguated ID Type / Status
Subject Ecstasy E495690 entity
Predicate cinematographyBy P1953 FINISHED
Object Jan Stallich
Jan Stallich was a Czech cinematographer known for his work on numerous European films during the early to mid-20th century.
E1426227 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: Jan Stallich | Statement: [Ecstasy, cinematographyBy, Jan Stallich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Stallich
Context triple: [Ecstasy, cinematographyBy, Jan Stallich]
  • A. Fredric Steinkamp
    Fredric Steinkamp was an American film editor best known for his acclaimed work on major Hollywood productions, including the Oscar-winning epic "Out of Africa."
  • B. Jan Sadeler
    Jan Sadeler was a prominent late 16th-century Flemish engraver and printmaker known for his detailed religious and allegorical prints and as a leading member of the influential Sadeler family of artists.
  • C. Will Staehle
    Will Staehle is a graphic designer and illustrator known for his distinctive, stylized book cover designs.
  • D. Emmy Sonnemann
    Emmy Sonnemann was a German stage actress best known as the second wife of Hermann Göring, a leading figure in Nazi Germany.
  • E. Jan Leike
    Jan Leike is an AI researcher known for his work on AI safety and alignment, including influential contributions at DeepMind and OpenAI.
  • 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: Jan Stallich
Triple: [Ecstasy, cinematographyBy, Jan Stallich]
Generated description
Jan Stallich was a Czech cinematographer known for his work on numerous European films during the early to mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jan Stallich
Target entity description: Jan Stallich was a Czech cinematographer known for his work on numerous European films during the early to mid-20th century.
  • A. Fredric Steinkamp
    Fredric Steinkamp was an American film editor best known for his acclaimed work on major Hollywood productions, including the Oscar-winning epic "Out of Africa."
  • B. Jan Sadeler
    Jan Sadeler was a prominent late 16th-century Flemish engraver and printmaker known for his detailed religious and allegorical prints and as a leading member of the influential Sadeler family of artists.
  • C. Will Staehle
    Will Staehle is a graphic designer and illustrator known for his distinctive, stylized book cover designs.
  • D. Emmy Sonnemann
    Emmy Sonnemann was a German stage actress best known as the second wife of Hermann Göring, a leading figure in Nazi Germany.
  • E. Jan Leike
    Jan Leike is an AI researcher known for his work on AI safety and alignment, including influential contributions at DeepMind and OpenAI.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678342a0081908ede8006eb5506a3 completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08707bbabc81908788f50a96d7c20f completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a087129ce3c8190a67ac34ec697ad31 completed May 16, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0871e3573c81908216b5e508374081 completed May 16, 2026, 1:32 p.m.
Created at: April 16, 2026, 11:23 a.m.