Triple

T17940837
Position Surface form Disambiguated ID Type / Status
Subject Toma Erdődy E448580 entity
Predicate familyName P18 FINISHED
Object Erdődy
Erdődy is the name of a historic Croatian-Hungarian noble family prominent in the politics and military affairs of the Habsburg Monarchy.
 E1297990 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: Erdődy | Statement: [Toma Erdődy, familyName, Erdődy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erdődy
Context triple: [Toma Erdődy, familyName, Erdődy]
  • A. Ernő
    Ernő is a Hungarian-born British modernist architect best known for his influential and often controversial Brutalist buildings in London.
  • B. Várkonyi
    Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
  • C. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • D. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • E. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • 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: Erdődy
Triple: [Toma Erdődy, familyName, Erdődy]
Generated description
Erdődy is the name of a historic Croatian-Hungarian noble family prominent in the politics and military affairs of the Habsburg Monarchy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erdődy
Target entity description: Erdődy is the name of a historic Croatian-Hungarian noble family prominent in the politics and military affairs of the Habsburg Monarchy.
  • A. Ernő
    Ernő is a Hungarian-born British modernist architect best known for his influential and often controversial Brutalist buildings in London.
  • B. Várkonyi
    Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
  • C. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • D. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • E. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad95f4608190b1ebb45944218f07 completed April 19, 2026, 10:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a032914b7008190a7207d93f865ea8f completed May 12, 2026, 1:20 p.m.
NEDg Description generation batch_6a032b598bd881909f53df8f82799b6b completed May 12, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a032c42d0a08190b2665adafaffdca7 completed May 12, 2026, 1:33 p.m.
Created at: April 10, 2026, 10:21 a.m.