Triple

T2166849
Position Surface form Disambiguated ID Type / Status
Subject Tamara Geva E46928 entity
Predicate familyName P18 FINISHED
Object Geva
Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
 E239111 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: Geva | Statement: [Tamara Geva, familyName, Geva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geva
Context triple: [Tamara Geva, familyName, Geva]
  • A. Gonda
    Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
  • B. Atzerodt
    Atzerodt is the surname of George Atzerodt, a German-born conspirator involved in the plot to assassinate U.S. President Abraham Lincoln.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Gauda
    Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
  • E. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • 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: Geva
Triple: [Tamara Geva, familyName, Geva]
Generated description
Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geva
Target entity description: Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
  • A. Gonda
    Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
  • B. Atzerodt
    Atzerodt is the surname of George Atzerodt, a German-born conspirator involved in the plot to assassinate U.S. President Abraham Lincoln.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Gauda
    Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
  • E. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeab223881908aaa2bc4f85329cc completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f044b8819092c58022383d3468 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5972d3d4819082f8896f12126422 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a12f11c81908cc345905f0a485e completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:45 p.m.