Triple

T18471995
Position Surface form Disambiguated ID Type / Status
Subject George I Rákóczi E451324 entity
Predicate mother P120 FINISHED
Object Anna Gerendi
Anna Gerendi was a Hungarian noblewoman best known as the mother of George I Rákóczi, Prince of Transylvania in the 17th century.
E1326342 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: Anna Gerendi | Statement: [George I Rákóczi, mother, Anna Gerendi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Gerendi
Context triple: [George I Rákóczi, mother, Anna Gerendi]
  • A. Melinda Kocsis
    Melinda Kocsis is known as the wife of American filmmaker and screenwriter Peter Farrelly, co-director of popular comedy films and the Oscar-winning "Green Book."
  • B. Yvette Szekely
    Yvette Szekely was the wife of American writer and socialist intellectual Max Eastman.
  • C. Judith Mihalyi
    Judith Mihalyi is best known as the wife of American actor René Auberjonois, recognized for his extensive work in film, television, and theater.
  • D. Stefania Pasztor
    Stefania Pasztor was the wife of renowned Hungarian-American conductor Eugene Ormandy.
  • E. Lisa Eilbacher
    Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
  • 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: Anna Gerendi
Triple: [George I Rákóczi, mother, Anna Gerendi]
Generated description
Anna Gerendi was a Hungarian noblewoman best known as the mother of George I Rákóczi, Prince of Transylvania in the 17th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna Gerendi
Target entity description: Anna Gerendi was a Hungarian noblewoman best known as the mother of George I Rákóczi, Prince of Transylvania in the 17th century.
  • A. Melinda Kocsis
    Melinda Kocsis is known as the wife of American filmmaker and screenwriter Peter Farrelly, co-director of popular comedy films and the Oscar-winning "Green Book."
  • B. Yvette Szekely
    Yvette Szekely was the wife of American writer and socialist intellectual Max Eastman.
  • C. Judith Mihalyi
    Judith Mihalyi is best known as the wife of American actor René Auberjonois, recognized for his extensive work in film, television, and theater.
  • D. Stefania Pasztor
    Stefania Pasztor was the wife of renowned Hungarian-American conductor Eugene Ormandy.
  • E. Lisa Eilbacher
    Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53060ae2c8190bf0821bb0ea5bd59 completed April 19, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f29097881909bacb0df4ec9d307 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a04407a51608190ba78d2c5337dd13f completed May 13, 2026, 9:12 a.m.
NED2 Entity disambiguation (via description) batch_6a04412ce3d481909044236be107de8d completed May 13, 2026, 9:15 a.m.
Created at: April 10, 2026, 11:34 a.m.