Triple

T10399306
Position Surface form Disambiguated ID Type / Status
Subject Szczepanik E245101 entity
Predicate hasNotableBearer P458 FINISHED
Object Jan Szczepanik
Jan Szczepanik was a Polish inventor known as the "Polish Edison" for his numerous innovations in photography, weaving, and early color film technology.
E882947 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: Jan Szczepanik | Statement: [Szczepanik, hasNotableBearer, Jan Szczepanik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Szczepanik
Context triple: [Szczepanik, hasNotableBearer, Jan Szczepanik]
  • A. Edward Szczepanik
    Edward Szczepanik was a Polish economist and politician who served as the last prime minister of the Polish government-in-exile before the restoration of democracy in Poland.
  • B. Cezary Skubiszewski
    Cezary Skubiszewski is a Polish-born Australian composer known for his acclaimed film and television scores.
  • C. Jan Szczepański
    Jan Szczepański was a Polish mountaineer known for participating in pioneering high-altitude ascents in the Andes.
  • D. Piotr Sobociński
    Piotr Sobociński was a Polish cinematographer known for his visually expressive work on both European art films and major Hollywood productions.
  • E. Jan Zaleski
    Jan Zaleski was a Polish biochemist known for his pioneering research in organic and physiological chemistry in the early 20th century.
  • 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: Jan Szczepanik
Triple: [Szczepanik, hasNotableBearer, Jan Szczepanik]
Generated description
Jan Szczepanik was a Polish inventor known as the "Polish Edison" for his numerous innovations in photography, weaving, and early color film technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jan Szczepanik
Target entity description: Jan Szczepanik was a Polish inventor known as the "Polish Edison" for his numerous innovations in photography, weaving, and early color film technology.
  • A. Edward Szczepanik
    Edward Szczepanik was a Polish economist and politician who served as the last prime minister of the Polish government-in-exile before the restoration of democracy in Poland.
  • B. Cezary Skubiszewski
    Cezary Skubiszewski is a Polish-born Australian composer known for his acclaimed film and television scores.
  • C. Jan Szczepański
    Jan Szczepański was a Polish mountaineer known for participating in pioneering high-altitude ascents in the Andes.
  • D. Piotr Sobociński
    Piotr Sobociński was a Polish cinematographer known for his visually expressive work on both European art films and major Hollywood productions.
  • E. Jan Zaleski
    Jan Zaleski was a Polish biochemist known for his pioneering research in organic and physiological chemistry in the early 20th century.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9d2e8488190b2bb8f8509903804 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69de21d85ee08190adfab9926fea1709 completed April 14, 2026, 11:15 a.m.
NEDg Description generation batch_69de25d25474819081402b75ef7492f6 completed April 14, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69de2808244c8190bdb2d4d49f30e0d7 completed April 14, 2026, 11:42 a.m.
Created at: April 6, 2026, 12:07 p.m.