Triple

T528347
Position Surface form Disambiguated ID Type / Status
Subject Elena Delle Donne E10973 entity
Predicate givenName P17 FINISHED
Object Elena
Elena is a feminine given name of Greek origin, commonly used in many languages as a variant of Helen or Helena.
 E86412 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: Elena | Statement: [Elena Delle Donne, givenName, Elena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elena
Context triple: [Elena Delle Donne, givenName, Elena]
  • A. Yelena Belova
    Yelena Belova is a Marvel Comics-trained assassin and the second Black Widow, known in the Marvel Cinematic Universe as a sharp-witted spy and fighter closely tied to Natasha Romanoff.
  • B. Rebeca
    Rebeca is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Rebecca.
  • C. Alexa Vega
    Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
  • D. Natalia Sedova
    Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
  • E. Celia Lovsky
    Celia Lovsky was an Austrian-American character actress known for her distinctive roles in mid-20th-century film and television, including a memorable appearance as T’Pau in the original Star Trek series.
  • 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: Elena
Triple: [Elena Delle Donne, givenName, Elena]
Generated description
Elena is a feminine given name of Greek origin, commonly used in many languages as a variant of Helen or Helena.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elena
Target entity description: Elena is a feminine given name of Greek origin, commonly used in many languages as a variant of Helen or Helena.
  • A. Yelena Belova
    Yelena Belova is a Marvel Comics-trained assassin and the second Black Widow, known in the Marvel Cinematic Universe as a sharp-witted spy and fighter closely tied to Natasha Romanoff.
  • B. Rebeca
    Rebeca is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Rebecca.
  • C. Alexa Vega
    Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
  • D. Natalia Sedova
    Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
  • E. Celia Lovsky
    Celia Lovsky was an Austrian-American character actress known for her distinctive roles in mid-20th-century film and television, including a memorable appearance as T’Pau in the original Star Trek series.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d39b4c81909f265b3501b5ec1d completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6373fbf388190afb01fcfd67f03bf completed March 3, 2026, 1:19 a.m.
NEDg Description generation batch_69a63b4f47d481909c9d26a28f301120 completed March 3, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69a63bd4f4888190a9beffad6d49ec8f completed March 3, 2026, 1:39 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.