Triple

T20138788
Position Surface form Disambiguated ID Type / Status
Subject Kersti Kaljulaid E491104 entity
Predicate givenName P17 FINISHED
Object Kersti
Kersti is an Estonian feminine given name most notably borne by former President of Estonia Kersti Kaljulaid.
 E1413477 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: Kersti | Statement: [Kersti Kaljulaid, givenName, Kersti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kersti
Context triple: [Kersti Kaljulaid, givenName, Kersti]
  • A. Kersti
    Kersti is a spirited sticker fairy who serves as Mario’s main companion and guide throughout the adventure in Paper Mario: Sticker Star.
  • B. Kerstin
    Kerstin is a feminine given name of Scandinavian origin, particularly common in Sweden and other Nordic countries.
  • C. Kristina
    Kristina is a feminine given name commonly used in various European countries, often considered a variant of Christina.
  • D. Katrin
    Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
  • E. Keratsa-Maria
    Keratsa-Maria was a 14th-century Bulgarian princess of the Second Bulgarian Empire, known as the daughter of Tsar Ivan Alexander and sister of Tsar Ivan Sratsimir.
  • 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: Kersti
Triple: [Kersti Kaljulaid, givenName, Kersti]
Generated description
Kersti is an Estonian feminine given name most notably borne by former President of Estonia Kersti Kaljulaid.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kersti
Target entity description: Kersti is an Estonian feminine given name most notably borne by former President of Estonia Kersti Kaljulaid.
  • A. Kersti
    Kersti is a spirited sticker fairy who serves as Mario’s main companion and guide throughout the adventure in Paper Mario: Sticker Star.
  • B. Kerstin
    Kerstin is a feminine given name of Scandinavian origin, particularly common in Sweden and other Nordic countries.
  • C. Kristina
    Kristina is a feminine given name commonly used in various European countries, often considered a variant of Christina.
  • D. Katrin
    Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
  • E. Keratsa-Maria
    Keratsa-Maria was a 14th-century Bulgarian princess of the Second Bulgarian Empire, known as the daughter of Tsar Ivan Alexander and sister of Tsar Ivan Sratsimir.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667698a188190869c18b925dba2ed completed April 20, 2026, 5:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082de4bba88190a7d20a03826cbff0 completed May 16, 2026, 8:42 a.m.
NEDg Description generation batch_6a082ee3aafc819088a14b0a5d655072 completed May 16, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_6a082f70e24881909c43a85289df4976 completed May 16, 2026, 8:48 a.m.
Created at: April 11, 2026, 11:32 p.m.