Triple

T12034895
Position Surface form Disambiguated ID Type / Status
Subject Kirsten Elizabeth Rutnik E286511 entity
Predicate familyName P18 FINISHED
Object Rutnik
Rutnik is a surname most notably associated with Kirsten Elizabeth Rutnik, better known as U.S. Senator Kirsten Gillibrand.
 E721521 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: Rutnik | Statement: [Kirsten Elizabeth Rutnik, familyName, Rutnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rutnik
Context triple: [Kirsten Elizabeth Rutnik, familyName, Rutnik]
  • A. Reznik
    Reznik is a surname of likely Eastern European origin, often associated with Jewish and Slavic families and appearing in various transliterated forms such as Resnick.
  • B. Ruschuk
    Ruschuk is the historical name for the city of Ruse, a major port on the Danube River in northeastern Bulgaria.
  • C. Rattenberg
    Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
  • D. Titarenko
    Titarenko is a Ukrainian-origin surname most notably borne by Raisa Maksimovna, the wife of former Soviet leader Mikhail Gorbachev.
  • E. Rusich
    Rusich is a series of modern Russian metro trains used in several cities’ subway systems, known for their articulated design and improved passenger comfort.
  • 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: Rutnik
Triple: [Kirsten Elizabeth Rutnik, familyName, Rutnik]
Generated description
Rutnik is a surname most notably associated with Kirsten Elizabeth Rutnik, better known as U.S. Senator Kirsten Gillibrand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rutnik
Target entity description: Rutnik is a surname most notably associated with Kirsten Elizabeth Rutnik, better known as U.S. Senator Kirsten Gillibrand.
  • A. Reznik chosen
    Reznik is a surname of likely Eastern European origin, often associated with Jewish and Slavic families and appearing in various transliterated forms such as Resnick.
  • B. Ruschuk
    Ruschuk is the historical name for the city of Ruse, a major port on the Danube River in northeastern Bulgaria.
  • C. Rattenberg
    Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
  • D. Titarenko
    Titarenko is a Ukrainian-origin surname most notably borne by Raisa Maksimovna, the wife of former Soviet leader Mikhail Gorbachev.
  • E. Rusich
    Rusich is a series of modern Russian metro trains used in several cities’ subway systems, known for their articulated design and improved passenger comfort.
  • F. None of above.

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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90408cbf0819093270c9833ef149a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d7d453c8190a27c5feca8f38991 completed May 1, 2026, 12:33 p.m.
NEDg Description generation batch_69f53d930714819080f92d223d930389 completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564d2b4348190abf2d09ae00aea37 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.