Triple

T22141472
Position Surface form Disambiguated ID Type / Status
Subject Vladimir-Rasate E547167 entity
Predicate title P38 FINISHED
Object Knyaz
Knyaz is a historical Slavic noble title roughly equivalent to a prince or ruler in medieval Eastern Europe.
 E1522307 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: Knyaz | Statement: [Vladimir-Rasate, title, Knyaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Knyaz
Context triple: [Vladimir-Rasate, title, Knyaz]
  • A. Grand Prince
    Grand Prince was the medieval title held by the supreme ruler of the early Hungarian state before it became a Christian kingdom.
  • B. Prince of Smolensk
    The Prince of Smolensk was a medieval Rus' ruler of the Smolensk principality, an important political and economic center in the Kievan Rus' realm.
  • C. Prince of Smolensk
    Prince of Smolensk is a noble title most famously borne by Russian field marshal Mikhail Kutuzov, celebrated for his leadership against Napoleon during the French invasion of Russia.
  • D. Király
    Király is a Hungarian surname borne by various notable individuals, including politicians, athletes, and artists.
  • E. Kœnig
    Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
  • 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: Knyaz
Triple: [Vladimir-Rasate, title, Knyaz]
Generated description
Knyaz is a historical Slavic noble title roughly equivalent to a prince or ruler in medieval Eastern Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Knyaz
Target entity description: Knyaz is a historical Slavic noble title roughly equivalent to a prince or ruler in medieval Eastern Europe.
  • A. Grand Prince
    Grand Prince was the medieval title held by the supreme ruler of the early Hungarian state before it became a Christian kingdom.
  • B. Prince of Smolensk
    The Prince of Smolensk was a medieval Rus' ruler of the Smolensk principality, an important political and economic center in the Kievan Rus' realm.
  • C. Prince of Smolensk
    Prince of Smolensk is a noble title most famously borne by Russian field marshal Mikhail Kutuzov, celebrated for his leadership against Napoleon during the French invasion of Russia.
  • D. Király
    Király is a Hungarian surname borne by various notable individuals, including politicians, athletes, and artists.
  • E. Kœnig
    Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129beb6c8819083be3b7479bc032f completed April 28, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96fc50208190b2f57f42a77696c1 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a9b03e16081908f17c1b16395ca14 completed May 18, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0a9b98344c8190852d53828b71b8f5 completed May 18, 2026, 4:54 a.m.
Created at: April 16, 2026, 8:32 p.m.