Triple

T562272
Position Surface form Disambiguated ID Type / Status
Subject Elisa Bonaparte E13477 entity
Predicate givenName P17 FINISHED
Object Elisa
Elisa is a feminine given name of Hebrew origin, often considered a short form of Elisabeth and used in various languages including Italian, Spanish, and French.
 E70903 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: Elisa | Statement: [Elisa Bonaparte, givenName, Elisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elisa
Context triple: [Elisa Bonaparte, givenName, Elisa]
  • A. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • B. Elia
    Elia is a given name most notably associated with influential film and theatre director Elia Kazan.
  • C. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • D. Roberta
    Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
  • E. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • 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: Elisa
Triple: [Elisa Bonaparte, givenName, Elisa]
Generated description
Elisa is a feminine given name of Hebrew origin, often considered a short form of Elisabeth and used in various languages including Italian, Spanish, and French.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elisa
Target entity description: Elisa is a feminine given name of Hebrew origin, often considered a short form of Elisabeth and used in various languages including Italian, Spanish, and French.
  • A. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • B. Elia
    Elia is a given name most notably associated with influential film and theatre director Elia Kazan.
  • C. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • D. Roberta
    Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
  • E. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a700e608190b235246df057bd9b completed March 1, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4efcf05b88190a0fc2f2e86834248 completed March 2, 2026, 2:02 a.m.
NEDg Description generation batch_69a4f07f6f2c819088513b9172618066 completed March 2, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69a4f10b8bd0819082768fbe8213111f completed March 2, 2026, 2:08 a.m.
Created at: March 1, 2026, 7:32 p.m.