Triple

T16621651
Position Surface form Disambiguated ID Type / Status
Subject Christian Nyby E403846 entity
Predicate familyName P18 FINISHED
Object Nyby
Nyby is a surname most notably associated with American film and television director Christian Nyby.
E1225041 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: Nyby | Statement: [Christian Nyby, familyName, Nyby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyby
Context triple: [Christian Nyby, familyName, Nyby]
  • A. Norby
    Norby is a quirky, intelligent robot protagonist from the science fiction series "The Norby Chronicles" created by Janet and Isaac Asimov.
  • B. Nyboder
    Nyboder is a historic district in Copenhagen known for its distinctive 17th-century yellow terraced houses originally built to house Royal Danish Navy personnel.
  • C. Nebelong
    Nebelong is a Danish surname most notably associated with 19th-century architect Johan Henrik Nebelong.
  • D. Barkarby
    Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
  • E. Raybūn
    Raybūn is an ancient settlement site in the Hadramawt region of Yemen, known from archaeological remains associated with the Hadramite civilization.
  • 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: Nyby
Triple: [Christian Nyby, familyName, Nyby]
Generated description
Nyby is a surname most notably associated with American film and television director Christian Nyby.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nyby
Target entity description: Nyby is a surname most notably associated with American film and television director Christian Nyby.
  • A. Norby
    Norby is a quirky, intelligent robot protagonist from the science fiction series "The Norby Chronicles" created by Janet and Isaac Asimov.
  • B. Nyboder
    Nyboder is a historic district in Copenhagen known for its distinctive 17th-century yellow terraced houses originally built to house Royal Danish Navy personnel.
  • C. Nebelong
    Nebelong is a Danish surname most notably associated with 19th-century architect Johan Henrik Nebelong.
  • D. Barkarby
    Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
  • E. Raybūn
    Raybūn is an ancient settlement site in the Hadramawt region of Yemen, known from archaeological remains associated with the Hadramite civilization.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754e80ec8190b3c66b33dbc7463c completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db27f788190a3c57b7ea8a8a9c6 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007eaca31081909cc81e73af61f2f0 completed May 10, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_6a007fde282c81909c9e7b210dd6e715 completed May 10, 2026, 12:53 p.m.
Created at: April 10, 2026, 5:17 a.m.