Triple

T2963314
Position Surface form Disambiguated ID Type / Status
Subject Vladimir Kuts E80100 entity
Predicate familyName P18 FINISHED
Object Kuts
Kuts is a surname most notably associated with Soviet long-distance runner and double Olympic champion Vladimir Kuts.
 E314587 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: Kuts | Statement: [Vladimir Kuts, familyName, Kuts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kuts
Context triple: [Vladimir Kuts, familyName, Kuts]
  • A. KUT
    KUT is the IATA airport code for David the Builder Kutaisi International Airport, a major passenger airport serving the city of Kutaisi in Georgia.
  • B. Kut
    Kut is a city in eastern Iraq situated on the banks of the Tigris River, known historically as a strategic location and the site of significant World War I battles.
  • C. KATS
    KATS is the electronic trading platform used by the Pakistan Stock Exchange to facilitate and manage securities trading.
  • D. Kists
    Kists are a small Nakh-speaking ethnic group living primarily in Georgia’s Pankisi Gorge, culturally and linguistically related to the Chechens of the North Caucasus.
  • E. Kes
    Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
  • 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: Kuts
Triple: [Vladimir Kuts, familyName, Kuts]
Generated description
Kuts is a surname most notably associated with Soviet long-distance runner and double Olympic champion Vladimir Kuts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kuts
Target entity description: Kuts is a surname most notably associated with Soviet long-distance runner and double Olympic champion Vladimir Kuts.
  • A. KUT
    KUT is the IATA airport code for David the Builder Kutaisi International Airport, a major passenger airport serving the city of Kutaisi in Georgia.
  • B. Kut
    Kut is a city in eastern Iraq situated on the banks of the Tigris River, known historically as a strategic location and the site of significant World War I battles.
  • C. KATS
    KATS is the electronic trading platform used by the Pakistan Stock Exchange to facilitate and manage securities trading.
  • D. Kists
    Kists are a small Nakh-speaking ethnic group living primarily in Georgia’s Pankisi Gorge, culturally and linguistically related to the Chechens of the North Caucasus.
  • E. Kes
    Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9957602c819089b673966fd619e0 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc98d94481908282d21394dc24a7 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd07b82881908d52ab2db2f2e54c completed March 11, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b0fdba0fd88190a2e760f1770e846c completed March 11, 2026, 5:29 a.m.
Created at: March 8, 2026, 2:57 p.m.