Triple

T16389219
Position Surface form Disambiguated ID Type / Status
Subject Alan King E398004 entity
Predicate familyName P18 FINISHED
Object Kniberg
Kniberg is a surname most notably associated with individuals such as Alan King who bear it as their family name.
 E1209909 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: Kniberg | Statement: [Alan King, familyName, Kniberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kniberg
Context triple: [Alan King, familyName, Kniberg]
  • A. Kiberg
    Kiberg is a small coastal village in northern Norway known for its fishing heritage and Arctic location on the Barents Sea.
  • 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. Eikenberg
    Eikenberg is a well-known cobbled climb in the Flemish Ardennes, frequently featured in Belgian professional cycling races.
  • D. Lendeborg
    Lendeborg is the surname of Jorge Lendeborg Jr., a Dominican-born American actor known for roles in films like "Spider-Man: Homecoming" and "Bumblebee."
  • E. Maselheim
    Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • 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: Kniberg
Triple: [Alan King, familyName, Kniberg]
Generated description
Kniberg is a surname most notably associated with individuals such as Alan King who bear it as their family name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kniberg
Target entity description: Kniberg is a surname most notably associated with individuals such as Alan King who bear it as their family name.
  • A. Kiberg
    Kiberg is a small coastal village in northern Norway known for its fishing heritage and Arctic location on the Barents Sea.
  • 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. Eikenberg
    Eikenberg is a well-known cobbled climb in the Flemish Ardennes, frequently featured in Belgian professional cycling races.
  • D. Lendeborg
    Lendeborg is the surname of Jorge Lendeborg Jr., a Dominican-born American actor known for roles in films like "Spider-Man: Homecoming" and "Bumblebee."
  • E. Maselheim
    Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326414f44819093ebc11f1b63444c completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357167b881909a5182537ef973ce completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a003659af2481908ccf0cc65b673b8f completed May 10, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0037957d7c81908b517ebea0b70a5b completed May 10, 2026, 7:45 a.m.
Created at: April 10, 2026, 5:08 a.m.