Triple

T2389200
Position Surface form Disambiguated ID Type / Status
Subject Daniel Kottke E48900 entity
Predicate familyName P18 FINISHED
Object Kottke
Kottke is a surname most notably associated with individuals such as Daniel Kottke, an early Apple employee and friend of Steve Jobs.
E261937 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: Kottke | Statement: [Daniel Kottke, familyName, Kottke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kottke
Context triple: [Daniel Kottke, familyName, Kottke]
  • A. Boing Boing
    Boing Boing is a long-running, influential blog and online magazine that covers technology, culture, science fiction, and digital rights with a quirky, countercultural tone.
  • B. The Vern
    The Vern is the informal name for George Washington University's Mount Vernon Campus in Washington, D.C.
  • C. The Onion
    The Onion is a distinctive, modernist London building known for its layered, bulb-like architectural design that resembles the shape of an onion.
  • D. Rutler
    Rutler is a surname most notably associated with Summer Rain Rutler, the daughter of singer Christina Aguilera and guitarist Matthew Rutler.
  • E. Jotijota
    Jotijota is an alternative name for the Yorta Yorta, an Aboriginal Australian people traditionally from the Murray–Goulburn region of northern Victoria and southern New South Wales.
  • 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: Kottke
Triple: [Daniel Kottke, familyName, Kottke]
Generated description
Kottke is a surname most notably associated with individuals such as Daniel Kottke, an early Apple employee and friend of Steve Jobs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kottke
Target entity description: Kottke is a surname most notably associated with individuals such as Daniel Kottke, an early Apple employee and friend of Steve Jobs.
  • A. Boing Boing
    Boing Boing is a long-running, influential blog and online magazine that covers technology, culture, science fiction, and digital rights with a quirky, countercultural tone.
  • B. The Vern
    The Vern is the informal name for George Washington University's Mount Vernon Campus in Washington, D.C.
  • C. The Onion
    The Onion is a distinctive, modernist London building known for its layered, bulb-like architectural design that resembles the shape of an onion.
  • D. Rutler
    Rutler is a surname most notably associated with Summer Rain Rutler, the daughter of singer Christina Aguilera and guitarist Matthew Rutler.
  • E. Jotijota
    Jotijota is an alternative name for the Yorta Yorta, an Aboriginal Australian people traditionally from the Murray–Goulburn region of northern Victoria and southern New South Wales.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc7dca9248190b634ae9e02f6899a completed March 7, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3d2ad588190a2cf3adab6a9404d completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb40b12d0819092b6c441580698a5 completed March 9, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_69aeb471c0408190bfb2341899d44dba completed March 9, 2026, 11:52 a.m.
Created at: March 4, 2026, 7:57 p.m.