Triple

T18690087
Position Surface form Disambiguated ID Type / Status
Subject Melchior Lengyel E456970 entity
Predicate familyName P18 FINISHED
Object Lengyel
Lengyel is a Hungarian surname most notably borne by Melchior Lengyel, a prominent 20th-century playwright and screenwriter.
 E1337772 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: Lengyel | Statement: [Melchior Lengyel, familyName, Lengyel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lengyel
Context triple: [Melchior Lengyel, familyName, Lengyel]
  • A. Polón
    Polón is a Finnish surname most notably associated with Eduard Polón, an industrialist and co-founder of the company that became part of Nokia.
  • B. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • C. Poroszló
    Poroszló is a village in northern Hungary situated near Lake Tisza, known for its natural surroundings and eco-tourism opportunities.
  • D. Gabrilowitsch
    Gabrilowitsch is a surname most notably associated with Ossip Gabrilowitsch, a Russian-born American pianist, conductor, and son-in-law of Mark Twain.
  • E. Polenovo
    Polenovo is a historic artist’s estate and museum complex in Russia, best known as the country home and creative workshop of painter Vasily Polenov.
  • 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: Lengyel
Triple: [Melchior Lengyel, familyName, Lengyel]
Generated description
Lengyel is a Hungarian surname most notably borne by Melchior Lengyel, a prominent 20th-century playwright and screenwriter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lengyel
Target entity description: Lengyel is a Hungarian surname most notably borne by Melchior Lengyel, a prominent 20th-century playwright and screenwriter.
  • A. Polón
    Polón is a Finnish surname most notably associated with Eduard Polón, an industrialist and co-founder of the company that became part of Nokia.
  • B. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • C. Poroszló
    Poroszló is a village in northern Hungary situated near Lake Tisza, known for its natural surroundings and eco-tourism opportunities.
  • D. Gabrilowitsch
    Gabrilowitsch is a surname most notably associated with Ossip Gabrilowitsch, a Russian-born American pianist, conductor, and son-in-law of Mark Twain.
  • E. Polenovo
    Polenovo is a historic artist’s estate and museum complex in Russia, best known as the country home and creative workshop of painter Vasily Polenov.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e28e5c8190b0033c1667d50e05 completed April 19, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05235e5f088190b06ead816f290629 completed May 14, 2026, 1:20 a.m.
NEDg Description generation batch_6a0527868034819088b42563642cdaff completed May 14, 2026, 1:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0527fe2fd8819094ddc99263b7e8da completed May 14, 2026, 1:40 a.m.
Created at: April 10, 2026, 11:49 a.m.