Triple

T10530108
Position Surface form Disambiguated ID Type / Status
Subject Andrew G. Vajna E248416 entity
Predicate givenName P17 FINISHED
Object András
András is the Hungarian given name of Andrew G. Vajna, a prominent Hungarian-American film producer known for major Hollywood action films.
 E254993 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: András | Statement: [Andrew G. Vajna, givenName, András]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: András
Context triple: [Andrew G. Vajna, givenName, András]
  • A. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • B. Sándor
    Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
  • 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: András
Triple: [Andrew G. Vajna, givenName, András]
Generated description
András is the Hungarian given name of Andrew G. Vajna, a prominent Hungarian-American film producer known for major Hollywood action films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: András
Target entity description: András is the Hungarian given name of Andrew G. Vajna, a prominent Hungarian-American film producer known for major Hollywood action films.
  • A. András chosen
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • B. Sándor
    Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
  • 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.

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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f7d8ac8190b90c1a7f77b23545 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d98832b97c8190a11246e087674e57 completed April 10, 2026, 11:30 p.m.
NEDg Description generation batch_69d98ae8403c81908a229aa06bd0388a completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98ce9ba0c8190a7c62fa670e23705 completed April 10, 2026, 11:51 p.m.
Created at: April 6, 2026, 12:30 p.m.