Triple

T15659671
Position Surface form Disambiguated ID Type / Status
Subject H. Leivick E376536 entity
Predicate givenName P17 FINISHED
Object Leivick
Leivick was a prominent Yiddish poet and playwright, best known for his expressionist drama and deeply spiritual, socially conscious verse.
 E1171270 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: Leivick | Statement: [H. Leivick, givenName, Leivick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leivick
Context triple: [H. Leivick, givenName, Leivick]
  • A. Vilna
    Vilna is the historical name for Vilnius, the capital city of Lithuania and a major cultural and political center of the region.
  • B. Novopolotsk
    Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
  • C. Polotsk
    Polotsk is one of the oldest cities in Belarus, historically a major political, cultural, and religious center of the medieval East Slavic world.
  • D. Vitebsk
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • E. Elbing
    Elbing is a historic Baltic port city, now known as Elbląg in Poland, that played a notable role in medieval trade as part of the Hanseatic commercial network.
  • 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: Leivick
Triple: [H. Leivick, givenName, Leivick]
Generated description
Leivick was a prominent Yiddish poet and playwright, best known for his expressionist drama and deeply spiritual, socially conscious verse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leivick
Target entity description: Leivick was a prominent Yiddish poet and playwright, best known for his expressionist drama and deeply spiritual, socially conscious verse.
  • A. Vilna
    Vilna is the historical name for Vilnius, the capital city of Lithuania and a major cultural and political center of the region.
  • B. Novopolotsk
    Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
  • C. Polotsk
    Polotsk is one of the oldest cities in Belarus, historically a major political, cultural, and religious center of the medieval East Slavic world.
  • D. Vitebsk
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • E. Elbing
    Elbing is a historic Baltic port city, now known as Elbląg in Poland, that played a notable role in medieval trade as part of the Hanseatic commercial network.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef4e6a08190ad8bbafaa3612f22 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ed6f50c81909d87ced263064f0d completed May 9, 2026, 5:28 p.m.
NEDg Description generation batch_69ff6fd9c968819098b2552a9deb0445 completed May 9, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff708d42448190a53b90e00721eaa5 completed May 9, 2026, 5:36 p.m.
Created at: April 10, 2026, 4:15 a.m.