Triple

T3487687
Position Surface form Disambiguated ID Type / Status
Subject Betar youth movement E73648 entity
Predicate motto P42 FINISHED
Object Hadár
Hadár is the guiding motto of the Betar youth movement, emphasizing Jewish pride, dignity, and disciplined self-respect.
 E362040 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: Hadár | Statement: [Betar youth movement, motto, Hadár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hadár
Context triple: [Betar youth movement, motto, Hadár]
  • A. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • B. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • C. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • D. Imre
    Imre is a Hungarian given name most famously borne by Imre Nagy, the reformist prime minister associated with the 1956 Hungarian Revolution.
  • E. Gárdony
    Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
  • 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: Hadár
Triple: [Betar youth movement, motto, Hadár]
Generated description
Hadár is the guiding motto of the Betar youth movement, emphasizing Jewish pride, dignity, and disciplined self-respect.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hadár
Target entity description: Hadár is the guiding motto of the Betar youth movement, emphasizing Jewish pride, dignity, and disciplined self-respect.
  • A. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • B. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • C. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • D. Imre
    Imre is a Hungarian given name most famously borne by Imre Nagy, the reformist prime minister associated with the 1956 Hungarian Revolution.
  • E. Gárdony
    Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb9193688190aa0cbf87a7b99446 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36826ff448190880f1ee708d93215 completed March 13, 2026, 1:28 a.m.
NEDg Description generation batch_69b36bedbb5881909e029c1d46782013 completed March 13, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_69b36fc00f30819088eda5ef85324273 completed March 13, 2026, 2 a.m.
Created at: March 8, 2026, 3:18 p.m.