Triple

T7685985
Position Surface form Disambiguated ID Type / Status
Subject Lena Ek E174117 entity
Predicate familyName P18 FINISHED
Object Ek
Ek is a Swedish surname borne by several notable figures, including politicians and entrepreneurs.
 E681673 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: Ek | Statement: [Lena Ek, familyName, Ek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ek
Context triple: [Lena Ek, familyName, Ek]
  • A. EK
    EK is the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • B. EK
    EK was the New York Stock Exchange ticker symbol for Eastman Kodak Company, the historic American photography and imaging corporation.
  • C. Ke
    Ke is the given name of Ke Huy Quan, the Vietnamese-American actor and former child star known for roles in films like "Indiana Jones and the Temple of Doom," "The Goonies," and "Everything Everywhere All at Once."
  • D. EKCH
    EKCH is the ICAO airport code for Copenhagen Airport, the main international airport serving Copenhagen and eastern Denmark.
  • E. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • 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: Ek
Triple: [Lena Ek, familyName, Ek]
Generated description
Ek is a Swedish surname borne by several notable figures, including politicians and entrepreneurs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ek
Target entity description: Ek is a Swedish surname borne by several notable figures, including politicians and entrepreneurs.
  • A. EK
    EK is the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • B. EK
    EK was the New York Stock Exchange ticker symbol for Eastman Kodak Company, the historic American photography and imaging corporation.
  • C. Ke
    Ke is the given name of Ke Huy Quan, the Vietnamese-American actor and former child star known for roles in films like "Indiana Jones and the Temple of Doom," "The Goonies," and "Everything Everywhere All at Once."
  • D. EKCH
    EKCH is the ICAO airport code for Copenhagen Airport, the main international airport serving Copenhagen and eastern Denmark.
  • E. EKiR
    EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7022118908190a3a93cfda79be0a4 completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a25c2a308190908ffdd2f0b7262f completed March 29, 2026, 3:54 a.m.
NEDg Description generation batch_69c8a37c995881908c71791c6cc002f3 completed March 29, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3fe63a4819086bcb5f80cdbd30b completed March 29, 2026, 4:01 a.m.
Created at: March 27, 2026, 4:02 p.m.