Triple

T10840482
Position Surface form Disambiguated ID Type / Status
Subject Abby Dahlkemper E255871 entity
Predicate familyName P18 FINISHED
Object Dahlkemper
Dahlkemper is a surname most prominently associated with American professional soccer player Abby Dahlkemper.
 E889328 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: Dahlkemper | Statement: [Abby Dahlkemper, familyName, Dahlkemper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dahlkemper
Context triple: [Abby Dahlkemper, familyName, Dahlkemper]
  • A. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • B. Danneels
    Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • C. Ockenga
    Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
  • D. Hedebrant
    Hedebrant is a Swedish surname most notably borne by actor Kåre Hedebrant, known for his role in the film "Let the Right One In."
  • E. Balke
    Balke is a Norwegian surname most notably associated with the 19th-century landscape painter Peder Balke.
  • 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: Dahlkemper
Triple: [Abby Dahlkemper, familyName, Dahlkemper]
Generated description
Dahlkemper is a surname most prominently associated with American professional soccer player Abby Dahlkemper.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dahlkemper
Target entity description: Dahlkemper is a surname most prominently associated with American professional soccer player Abby Dahlkemper.
  • A. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • B. Danneels
    Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • C. Ockenga
    Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
  • D. Hedebrant
    Hedebrant is a Swedish surname most notably borne by actor Kåre Hedebrant, known for his role in the film "Let the Right One In."
  • E. Balke
    Balke is a Norwegian surname most notably associated with the 19th-century landscape painter Peder Balke.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7470204548190ba0c724dd9367712 completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb146f04881909f5636e7d0c20b77 completed April 14, 2026, 9:27 p.m.
NEDg Description generation batch_69dec2534728819095b3693120772da9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec79b1b548190a74312284f98551c completed April 14, 2026, 11:02 p.m.
Created at: April 8, 2026, 9:19 p.m.