Triple

T15894642
Position Surface form Disambiguated ID Type / Status
Subject Faina Ranevskaya E385421 entity
Predicate givenName P17 FINISHED
Object Faina
Faina is a feminine given name, notably borne by the celebrated Soviet actress Faina Ranevskaya.
 E1182848 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: Faina | Statement: [Faina Ranevskaya, givenName, Faina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faina
Context triple: [Faina Ranevskaya, givenName, Faina]
  • A. Alona
    Alona is a feminine given name, notably borne by Israeli-American actress and singer Alona Tal.
  • B. Fanna
    Fanna is a small inhabited settlement located in the remote Sonsorol Islands of the island nation of Palau in the western Pacific Ocean.
  • C. Jacinta
    Jacinta is a feminine given name of Spanish and Portuguese origin, famously borne by Jacinta Marto, one of the child visionaries of Fátima.
  • D. Nerissa
    Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
  • E. Teyuna
    Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
  • 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: Faina
Triple: [Faina Ranevskaya, givenName, Faina]
Generated description
Faina is a feminine given name, notably borne by the celebrated Soviet actress Faina Ranevskaya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faina
Target entity description: Faina is a feminine given name, notably borne by the celebrated Soviet actress Faina Ranevskaya.
  • A. Alona
    Alona is a feminine given name, notably borne by Israeli-American actress and singer Alona Tal.
  • B. Fanna
    Fanna is a small inhabited settlement located in the remote Sonsorol Islands of the island nation of Palau in the western Pacific Ocean.
  • C. Jacinta
    Jacinta is a feminine given name of Spanish and Portuguese origin, famously borne by Jacinta Marto, one of the child visionaries of Fátima.
  • D. Nerissa
    Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
  • E. Teyuna
    Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563809748190a54156b946d3f061 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04b55ec8190a5b3513b2afa4f83 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb13fdb6c819091c3ee5c1f199031 completed May 9, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffb208aef881909b3a00e0015c27df completed May 9, 2026, 10:15 p.m.
Created at: April 10, 2026, 4:51 a.m.