Triple

T16647731
Position Surface form Disambiguated ID Type / Status
Subject Karl Hajos E404515 entity
Predicate familyName P18 FINISHED
Object Hajos
Hajos is a surname most notably associated with Karl Hajos, a Hungarian-American composer known for his film scores in early Hollywood cinema.
 E1226175 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: Hajos | Statement: [Karl Hajos, familyName, Hajos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hajos
Context triple: [Karl Hajos, familyName, Hajos]
  • A. Bárdossy
    Bárdossy is a Hungarian surname most notably associated with László Bárdossy, who served as Hungary’s prime minister during World War II.
  • 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. Hajdúnánás
    Hajdúnánás is a town in eastern Hungary known for its agricultural surroundings, thermal baths, and location within the Northern Great Plain region.
  • D. Lacika
    Lacika is a Hungarian diminutive or affectionate nickname derived from the male given name László.
  • E. Vilmos
    Vilmos is a masculine given name of Hungarian origin, equivalent to William in English.
  • 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: Hajos
Triple: [Karl Hajos, familyName, Hajos]
Generated description
Hajos is a surname most notably associated with Karl Hajos, a Hungarian-American composer known for his film scores in early Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hajos
Target entity description: Hajos is a surname most notably associated with Karl Hajos, a Hungarian-American composer known for his film scores in early Hollywood cinema.
  • A. Bárdossy
    Bárdossy is a Hungarian surname most notably associated with László Bárdossy, who served as Hungary’s prime minister during World War II.
  • 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. Hajdúnánás
    Hajdúnánás is a town in eastern Hungary known for its agricultural surroundings, thermal baths, and location within the Northern Great Plain region.
  • D. Lacika
    Lacika is a Hungarian diminutive or affectionate nickname derived from the male given name László.
  • E. Vilmos
    Vilmos is a masculine given name of Hungarian origin, equivalent to William in English.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad66fe88190be582b81719f2ac1 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c0e37c819080161d522069aa1d completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a0085e04fc08190b974be9d6e27413d completed May 10, 2026, 1:19 p.m.
NED2 Entity disambiguation (via description) batch_6a00868e55dc8190bfc7cd1b78ec4d6d completed May 10, 2026, 1:22 p.m.
Created at: April 10, 2026, 5:18 a.m.