Triple

T9062816
Position Surface form Disambiguated ID Type / Status
Subject Marcus Hutter E217168 entity
Predicate coAuthorWith P398 FINISHED
Object Jan Leike
Jan Leike is an AI researcher known for his work on AI safety and alignment, including influential contributions at DeepMind and OpenAI.
E774595 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 Leike | Statement: [Marcus Hutter, coAuthorWith, Jan Leike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Leike
Context triple: [Marcus Hutter, coAuthorWith, Jan Leike]
  • A. Jan Kiesser
    Jan Kiesser is a Canadian cinematographer known for his work on genre films and television, including the 1985 horror film "Fright Night."
  • B. Emmy Sonnemann
    Emmy Sonnemann was a German stage actress best known as the second wife of Hermann Göring, a leading figure in Nazi Germany.
  • C. Angelika Dittrich
    Angelika Dittrich was the third wife of the famous Austrian composer Johann Strauss II.
  • D. Imke Thiel
    Imke Thiel is a notable individual associated with the surname Thiel, recognized as a distinguished bearer of that name.
  • E. Michaela Dorfmeister
    Michaela Dorfmeister is a retired Austrian alpine ski racer renowned for winning multiple World Cup titles and Olympic gold medals in the early 2000s.
  • 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 Leike
Triple: [Marcus Hutter, coAuthorWith, Jan Leike]
Generated description
Jan Leike is an AI researcher known for his work on AI safety and alignment, including influential contributions at DeepMind and OpenAI.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jan Leike
Target entity description: Jan Leike is an AI researcher known for his work on AI safety and alignment, including influential contributions at DeepMind and OpenAI.
  • A. Jan Kiesser
    Jan Kiesser is a Canadian cinematographer known for his work on genre films and television, including the 1985 horror film "Fright Night."
  • B. Emmy Sonnemann
    Emmy Sonnemann was a German stage actress best known as the second wife of Hermann Göring, a leading figure in Nazi Germany.
  • C. Angelika Dittrich
    Angelika Dittrich was the third wife of the famous Austrian composer Johann Strauss II.
  • D. Imke Thiel
    Imke Thiel is a notable individual associated with the surname Thiel, recognized as a distinguished bearer of that name.
  • E. Michaela Dorfmeister
    Michaela Dorfmeister is a retired Austrian alpine ski racer renowned for winning multiple World Cup titles and Olympic gold medals in the early 2000s.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7ecd352c8190a744579209b2e535 completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebf4b9348190a7f01c64098c25f7 completed April 3, 2026, 4:33 p.m.
NEDg Description generation batch_69cfedeb1a648190974b579109bdde3b completed April 3, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_69cfee5ef8208190a129df4fa49037a0 completed April 3, 2026, 4:44 p.m.
Created at: March 30, 2026, 7:11 p.m.