Triple

T22262581
Position Surface form Disambiguated ID Type / Status
Subject Eliassen E550264 entity
Predicate hasNotableBearer P458 FINISHED
Object Odd Eliassen
Odd Eliassen is a Norwegian physician and academic known for his contributions to medical research and education.
E1527551 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: Odd Eliassen | Statement: [Eliassen, hasNotableBearer, Odd Eliassen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odd Eliassen
Context triple: [Eliassen, hasNotableBearer, Odd Eliassen]
  • A. Eli Landsem
    Eli Landsem is a Norwegian football coach best known for managing the Norway women's national team at the international level.
  • B. Erik Selvig
    Erik Selvig is a fictional astrophysicist in the Marvel Cinematic Universe who becomes a close ally of Thor and plays a key role in studying and understanding cosmic phenomena.
  • C. Eli Lapp
    Eli Lapp is a central Amish elder character in the film "Witness," known as the grandfather of the young boy who witnesses a murder.
  • D. Joel Martinsen
    Joel Martinsen is a Chinese-to-English literary translator best known for translating *The Dark Forest*, the second novel in Liu Cixin’s acclaimed *Remembrance of Earth’s Past* science fiction trilogy.
  • E. Erik Barmack
    Erik Barmack is a film and television producer and former Netflix executive known for developing and overseeing international original content.
  • 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: Odd Eliassen
Triple: [Eliassen, hasNotableBearer, Odd Eliassen]
Generated description
Odd Eliassen is a Norwegian physician and academic known for his contributions to medical research and education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Odd Eliassen
Target entity description: Odd Eliassen is a Norwegian physician and academic known for his contributions to medical research and education.
  • A. Eli Landsem
    Eli Landsem is a Norwegian football coach best known for managing the Norway women's national team at the international level.
  • B. Erik Selvig
    Erik Selvig is a fictional astrophysicist in the Marvel Cinematic Universe who becomes a close ally of Thor and plays a key role in studying and understanding cosmic phenomena.
  • C. Eli Lapp
    Eli Lapp is a central Amish elder character in the film "Witness," known as the grandfather of the young boy who witnesses a murder.
  • D. Joel Martinsen
    Joel Martinsen is a Chinese-to-English literary translator best known for translating *The Dark Forest*, the second novel in Liu Cixin’s acclaimed *Remembrance of Earth’s Past* science fiction trilogy.
  • E. Erik Barmack
    Erik Barmack is a film and television producer and former Netflix executive known for developing and overseeing international original content.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141b94a688190b17c55477993a745 completed April 28, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab66a08848190ac34b6af7a116f49 completed May 18, 2026, 6:49 a.m.
NEDg Description generation batch_6a0ab7f904bc81909addafee8773eae0 completed May 18, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab891ba1c81909c9e9a5f29d4eb54 completed May 18, 2026, 6:58 a.m.
Created at: April 16, 2026, 8:39 p.m.