Triple

T259292
Position Surface form Disambiguated ID Type / Status
Subject Eleanor E5505 entity
Predicate hasVariant P455 FINISHED
Object Leonore
Leonore is a given name, typically considered a variant of Eleanor, used for girls in various European languages.
 E33739 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: Leonore | Statement: [Eleanor, hasVariant, Leonore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leonore
Context triple: [Eleanor, hasVariant, Leonore]
  • A. Don Juan
    Don Juan is a long satirical narrative poem by Lord Byron that humorously reimagines the legendary libertine as a naïve young man swept through a series of romantic and political adventures.
  • B. Frederic
    Frederic is the given name of Frederic Edwin Church, a prominent 19th-century American landscape painter associated with the Hudson River School.
  • C. Amalie
    Amalie is the given first name of the pioneering German mathematician Emmy Noether, renowned for her foundational contributions to abstract algebra and theoretical physics.
  • D. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • E. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • 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: Leonore
Triple: [Eleanor, hasVariant, Leonore]
Generated description
Leonore is a given name, typically considered a variant of Eleanor, used for girls in various European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leonore
Target entity description: Leonore is a given name, typically considered a variant of Eleanor, used for girls in various European languages.
  • A. Don Juan
    Don Juan is a long satirical narrative poem by Lord Byron that humorously reimagines the legendary libertine as a naïve young man swept through a series of romantic and political adventures.
  • B. Frederic
    Frederic is the given name of Frederic Edwin Church, a prominent 19th-century American landscape painter associated with the Hudson River School.
  • C. Amalie
    Amalie is the given first name of the pioneering German mathematician Emmy Noether, renowned for her foundational contributions to abstract algebra and theoretical physics.
  • D. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • E. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d71a10c8190894c86e7a67c5974 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3837622cc819096df20695413b5c0 completed March 1, 2026, 12:08 a.m.
NEDg Description generation batch_69a38470215c8190b6541ab567ca5721 completed March 1, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69a384cbfbec81909a3ae67f51dadfb3 completed March 1, 2026, 12:14 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.