Triple

T3882681
Position Surface form Disambiguated ID Type / Status
Subject Julia E92860 entity
Predicate cognate P2527 FINISHED
Object Julita
Julita is a feminine given name, commonly used as a diminutive or variant of Julia in various languages and cultures.
E395353 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: Julita | Statement: [Julia, cognate, Julita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julita
Context triple: [Julia, cognate, Julita]
  • A. Milena
    Milena is the birth name of actress Mila Kunis, a Ukrainian-born American performer known for roles in "That '70s Show" and "Black Swan."
  • B. Marita
    Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
  • C. Eva Luna
    Eva Luna is a novel by Chilean author Isabel Allende that follows the imaginative life story of a young Latin American woman against a backdrop of political and social upheaval.
  • D. Fortunata y Jacinta
    Fortunata y Jacinta is a classic 19th-century realist novel by Spanish author Benito Pérez Galdós that explores love, class, and social change in Madrid through the intertwined lives of two women connected to the same man.
  • E. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • 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: Julita
Triple: [Julia, cognate, Julita]
Generated description
Julita is a feminine given name, commonly used as a diminutive or variant of Julia in various languages and cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Julita
Target entity description: Julita is a feminine given name, commonly used as a diminutive or variant of Julia in various languages and cultures.
  • A. Milena
    Milena is the birth name of actress Mila Kunis, a Ukrainian-born American performer known for roles in "That '70s Show" and "Black Swan."
  • B. Marita
    Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
  • C. Eva Luna
    Eva Luna is a novel by Chilean author Isabel Allende that follows the imaginative life story of a young Latin American woman against a backdrop of political and social upheaval.
  • D. Fortunata y Jacinta
    Fortunata y Jacinta is a classic 19th-century realist novel by Spanish author Benito Pérez Galdós that explores love, class, and social change in Madrid through the intertwined lives of two women connected to the same man.
  • E. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec8e8b3481909617ca0e37f8a6d4 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512594fa081909ba2afad11f6ea59 completed March 14, 2026, 7:46 a.m.
NEDg Description generation batch_69b513013db481908f8fb5f56470c0d0 completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b513730a308190a04696da9ff901b0 completed March 14, 2026, 7:51 a.m.
Created at: March 9, 2026, 3:20 p.m.