Triple

T7651252
Position Surface form Disambiguated ID Type / Status
Subject Kerstin Ekman E173256 entity
Predicate givenName P17 FINISHED
Object Kerstin
Kerstin is a feminine given name of Scandinavian origin, particularly common in Sweden and other Nordic countries.
 E681478 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: Kerstin | Statement: [Kerstin Ekman, givenName, Kerstin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kerstin
Context triple: [Kerstin Ekman, givenName, Kerstin]
  • A. Kirsten
    Kirsten is the first name of Kirsten Gillibrand, a prominent American politician and U.S. Senator from New York.
  • B. Katrin
    Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
  • C. Kristina
    Kristina is a feminine given name commonly used in various European countries, often considered a variant of Christina.
  • D. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • E. Katja
    Katja is a diminutive or short form of the given name Katarina, commonly used in various Slavic and European languages.
  • 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: Kerstin
Triple: [Kerstin Ekman, givenName, Kerstin]
Generated description
Kerstin is a feminine given name of Scandinavian origin, particularly common in Sweden and other Nordic countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kerstin
Target entity description: Kerstin is a feminine given name of Scandinavian origin, particularly common in Sweden and other Nordic countries.
  • A. Kirsten
    Kirsten is the first name of Kirsten Gillibrand, a prominent American politician and U.S. Senator from New York.
  • B. Katrin
    Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
  • C. Kristina
    Kristina is a feminine given name commonly used in various European countries, often considered a variant of Christina.
  • D. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • E. Katja
    Katja is a diminutive or short form of the given name Katarina, commonly used in various Slavic and European languages.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70175e4b88190bc40c839a42180d4 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a21b1ca881908ee73a418d4069a7 completed March 29, 2026, 3:52 a.m.
NEDg Description generation batch_69c8a2dd5d308190b8a463f0cd5c0f78 completed March 29, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69c8a33a9cb08190b6943ad387f83cab completed March 29, 2026, 3:57 a.m.
Created at: March 27, 2026, 3:58 p.m.