Triple

T19774504
Position Surface form Disambiguated ID Type / Status
Subject Vera Figner E474968 entity
Predicate familyName P18 FINISHED
Object Figner
Figner is a Russian surname most notably associated with Vera Figner, a prominent 19th-century revolutionary and member of the Narodnaya Volya organization.
 E1394358 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: Figner | Statement: [Vera Figner, familyName, Figner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Figner
Context triple: [Vera Figner, familyName, Figner]
  • A. Joffe
    Joffe is a surname most notably associated with Adolf Joffe, a prominent early 20th-century Russian revolutionary and diplomat.
  • B. Pea Fröhlich
    Pea Fröhlich is a screenwriter known for her work on the German film "Lola."
  • C. Ravnitzky
    Ravnitzky is a Jewish family name most notably associated with Yehoshua Ravnitzky, a prominent Hebrew writer, editor, and publisher.
  • D. Franz
    Franz is a German-language surname of Central European origin borne by various notable individuals.
  • E. Franz
    Franz is a masculine given name of German origin that has been borne by numerous notable figures in arts, science, and politics.
  • 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: Figner
Triple: [Vera Figner, familyName, Figner]
Generated description
Figner is a Russian surname most notably associated with Vera Figner, a prominent 19th-century revolutionary and member of the Narodnaya Volya organization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Figner
Target entity description: Figner is a Russian surname most notably associated with Vera Figner, a prominent 19th-century revolutionary and member of the Narodnaya Volya organization.
  • A. Joffe
    Joffe is a surname most notably associated with Adolf Joffe, a prominent early 20th-century Russian revolutionary and diplomat.
  • B. Pea Fröhlich
    Pea Fröhlich is a screenwriter known for her work on the German film "Lola."
  • C. Ravnitzky
    Ravnitzky is a Jewish family name most notably associated with Yehoshua Ravnitzky, a prominent Hebrew writer, editor, and publisher.
  • D. Franz
    Franz is one of the central, romantically entangled young protagonists in Jean-Luc Godard’s 1964 French New Wave film "Bande à part."
  • E. Franz
    Franz is the given name of Frank X. Leyendecker, an American illustrator known for his magazine covers and advertising art in the early 20th century.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535effcc819080a71de148759674 completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd76afe08190b958bd49acf21c4a completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be5426c48190bb7b0fc315fa2f6a completed May 16, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_6a07bf9682fc8190a33ea75dba8d88d6 completed May 16, 2026, 12:51 a.m.
Created at: April 10, 2026, 1:48 p.m.