Triple

T17917635
Position Surface form Disambiguated ID Type / Status
Subject Cristina Raines E447973 entity
Predicate givenName P17 FINISHED
Object Cristina
Cristina is a feminine given name of Latin origin, commonly used in various Romance and European languages.
E1034840 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: Cristina | Statement: [Cristina Raines, givenName, Cristina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cristina
Context triple: [Cristina Raines, givenName, Cristina]
  • A. Cristina
    Cristina is a poem by Robert Browning included in his collection "Dramatic Romances and Lyrics."
  • B. Cristina
    Cristina is a small settlement located within the Las Vegas Altas del Guadiana region in Spain.
  • C. Cristina
    Cristina is one of the two free-spirited American women at the center of Woody Allen’s romantic drama film "Vicky Cristina Barcelona."
  • D. Cristina
    Cristina is a Spanish infanta and member of the Spanish royal family, known as the daughter of former King Juan Carlos I and Queen Sofía.
  • E. Cristina
    Cristina is the wife of Brazilian basketball legend Oscar Schmidt.
  • 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: Cristina
Triple: [Cristina Raines, givenName, Cristina]
Generated description
Cristina is a feminine given name of Latin origin, commonly used in various Romance and European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cristina
Target entity description: Cristina is a feminine given name of Latin origin, commonly used in various Romance and European languages.
  • A. Cristina chosen
    Cristina is an Italian given name commonly used for women, equivalent to the English name Christina.
  • B. Cristina
    Cristina is a Spanish infanta and member of the Spanish royal family, known as the daughter of former King Juan Carlos I and Queen Sofía.
  • C. Cristina
    Cristina is a woman who is in a romantic relationship with Juan Antonio.
  • D. Cristina
    Cristina is a small settlement located within the Las Vegas Altas del Guadiana region in Spain.
  • E. Cristina
    Cristina was an American singer and influential figure in the early 1980s New York no wave and downtown music scene, known for her ironic, avant-pop reinterpretations of classic songs.
  • F. None of above.

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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30778fc81908b5b2e308fb158a5 completed April 19, 2026, 9:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03379ddb5881909a3aa5ced03647b7 completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a0338cd02808190b650f59fc16bab0d completed May 12, 2026, 2:27 p.m.
NED2 Entity disambiguation (via description) batch_6a033cb498248190a3805cd356832cd0 completed May 12, 2026, 2:44 p.m.
Created at: April 10, 2026, 10:20 a.m.