Triple

T9046120
Position Surface form Disambiguated ID Type / Status
Subject The Sacrifice E216758 entity
Predicate castMember P1668 FINISHED
Object Filip Noer
Filip Noer is an actor known for his role in the film "The Sacrifice."
E775957 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: Filip Noer | Statement: [The Sacrifice, castMember, Filip Noer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Filip Noer
Context triple: [The Sacrifice, castMember, Filip Noer]
  • A. Erik Møse
    Erik Møse is a Norwegian judge and legal scholar best known for his leadership role in international criminal justice, particularly through his work at the International Criminal Tribunal for Rwanda.
  • B. Niels Jensen
    Niels Jensen is a software entrepreneur best known as one of the founders of the software company Borland.
  • C. Erik Salomonsen
    Erik Salomonsen, better known as Erik Erikson, was a German-American developmental psychologist and psychoanalyst renowned for his theory of psychosocial development across the lifespan.
  • D. Anders Bagge
    Anders Bagge is a Swedish music producer and songwriter known for working with major international pop artists and contributing to numerous hit records.
  • E. Magnus Manske
    Magnus Manske is a German software developer and biochemist best known for creating the original version of the MediaWiki software that powers Wikipedia.
  • 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: Filip Noer
Triple: [The Sacrifice, castMember, Filip Noer]
Generated description
Filip Noer is an actor known for his role in the film "The Sacrifice."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Filip Noer
Target entity description: Filip Noer is an actor known for his role in the film "The Sacrifice."
  • A. Erik Møse
    Erik Møse is a Norwegian judge and legal scholar best known for his leadership role in international criminal justice, particularly through his work at the International Criminal Tribunal for Rwanda.
  • B. Niels Jensen
    Niels Jensen is a software entrepreneur best known as one of the founders of the software company Borland.
  • C. Erik Salomonsen
    Erik Salomonsen, better known as Erik Erikson, was a German-American developmental psychologist and psychoanalyst renowned for his theory of psychosocial development across the lifespan.
  • D. Anders Bagge
    Anders Bagge is a Swedish music producer and songwriter known for working with major international pop artists and contributing to numerous hit records.
  • E. Magnus Manske
    Magnus Manske is a German software developer and biochemist best known for creating the original version of the MediaWiki software that powers Wikipedia.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b4e4b888190a425e29b193b506f completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdb868e48190b9d193025cb5b9a2 completed April 3, 2026, 5:49 p.m.
NEDg Description generation batch_69d000d2c5688190b014ce33c04ff875 completed April 3, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69d001a1056c819083793547dbd4b1ee completed April 3, 2026, 6:06 p.m.
Created at: March 30, 2026, 7:09 p.m.