Triple

T9529728
Position Surface form Disambiguated ID Type / Status
Subject Taneli Kekkonen E229855 entity
Predicate relative P37 FINISHED
Object Taru Hatakka
Taru Hatakka is a Finnish individual known primarily as a relative of diplomat and politician Taneli Kekkonen, a member of the prominent Kekkonen family.
 E804983 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: Taru Hatakka | Statement: [Taneli Kekkonen, relative, Taru Hatakka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taru Hatakka
Context triple: [Taneli Kekkonen, relative, Taru Hatakka]
  • A. Tarita Teriipaia
    Tarita Teriipaia is a French Polynesian actress best known for her role in "Mutiny on the Bounty" and her long-term relationship with Marlon Brando.
  • B. Jarka Ruus
    Jarka Ruus is a fantasy novel by Terry Brooks that begins the High Druid of Shannara subseries within the larger Shannara universe.
  • C. Sakari
    Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
  • D. Kukkonen
    Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
  • E. Mikki Kunttu
    Mikki Kunttu is a Finnish lighting, set, and visual designer renowned for his work in contemporary dance, opera, and large-scale live productions.
  • 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: Taru Hatakka
Triple: [Taneli Kekkonen, relative, Taru Hatakka]
Generated description
Taru Hatakka is a Finnish individual known primarily as a relative of diplomat and politician Taneli Kekkonen, a member of the prominent Kekkonen family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taru Hatakka
Target entity description: Taru Hatakka is a Finnish individual known primarily as a relative of diplomat and politician Taneli Kekkonen, a member of the prominent Kekkonen family.
  • A. Tarita Teriipaia
    Tarita Teriipaia is a French Polynesian actress best known for her role in "Mutiny on the Bounty" and her long-term relationship with Marlon Brando.
  • B. Jarka Ruus
    Jarka Ruus is a fantasy novel by Terry Brooks that begins the High Druid of Shannara subseries within the larger Shannara universe.
  • C. Sakari
    Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
  • D. Kukkonen
    Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
  • E. Mikki Kunttu
    Mikki Kunttu is a Finnish lighting, set, and visual designer renowned for his work in contemporary dance, opera, and large-scale live productions.
  • 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b2de3081909be70d9ab187dce6 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c38a3848190ab3561f70497c9eb completed April 4, 2026, 5:36 p.m.
NEDg Description generation batch_69d14d23573c8190aeebf2fdac20a332 completed April 4, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d14da4514481908a530b5d77ad832a completed April 4, 2026, 5:43 p.m.
Created at: March 30, 2026, 8 p.m.