Triple

T10676605
Position Surface form Disambiguated ID Type / Status
Subject Gergely E251634 entity
Predicate hasVariant P455 FINISHED
Object Gergő
Gergő is a Hungarian masculine given name, commonly used as a familiar or diminutive form of Gergely (the Hungarian equivalent of Gregory).
E880057 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: Gergő | Statement: [Gergely, hasVariant, Gergő]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gergő
Context triple: [Gergely, hasVariant, Gergő]
  • A. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • B. György
    György is a Hungarian given name commonly used for men, equivalent to the English name George.
  • C. Géza
    Géza was a 10th-century Grand Prince of the Hungarians who played a key role in consolidating the Hungarian state and paving the way for its Christianization under his son Stephen I.
  • D. Gerő
    Gerő is a Hungarian surname most notably borne by Ernő Gerő, a prominent 20th-century Hungarian communist politician and leader.
  • E. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • 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: Gergő
Triple: [Gergely, hasVariant, Gergő]
Generated description
Gergő is a Hungarian masculine given name, commonly used as a familiar or diminutive form of Gergely (the Hungarian equivalent of Gregory).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gergő
Target entity description: Gergő is a Hungarian masculine given name, commonly used as a familiar or diminutive form of Gergely (the Hungarian equivalent of Gregory).
  • A. András
    András is the Hungarian given name of Andrew S. Grove, the influential former CEO and co-founder of Intel.
  • B. György
    György is a Hungarian given name commonly used for men, equivalent to the English name George.
  • C. Géza
    Géza was a 10th-century Grand Prince of the Hungarians who played a key role in consolidating the Hungarian state and paving the way for its Christianization under his son Stephen I.
  • D. Gerő
    Gerő is a Hungarian surname most notably borne by Ernő Gerő, a prominent 20th-century Hungarian communist politician and leader.
  • E. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb94b05c8190b66bf64f5c6d166b completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998bfc27c8190a9d3e77fbe544a6d completed April 11, 2026, 12:41 a.m.
NEDg Description generation batch_69d99e8312188190bec3090f34a7b9b9 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69d99f50e0888190b8e7b2547e1526af completed April 11, 2026, 1:09 a.m.
Created at: April 8, 2026, 9:09 p.m.