Triple

T3408158
Position Surface form Disambiguated ID Type / Status
Subject Penélope Cruz E71824 entity
Predicate sibling P363 FINISHED
Object Mónica Cruz
Mónica Cruz is a Spanish actress and professional dancer known for her work in film and television as well as for her resemblance to her sister, Penélope Cruz.
E381471 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: Mónica Cruz | Statement: [Penélope Cruz, sibling, Mónica Cruz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mónica Cruz
Context triple: [Penélope Cruz, sibling, Mónica Cruz]
  • A. Mónica Naranjo
    Mónica Naranjo is a Spanish singer and songwriter known for her powerful vocal range and influential pop and dance music career since the 1990s.
  • B. Corina Figueroa Escamilla
    Corina Figueroa Escamilla is known as the wife of American singer-songwriter Conor Oberst.
  • C. Monica De La Cruz
    Monica De La Cruz is a Republican politician and U.S. Representative from South Texas, known for being the first Latina Republican elected to Congress from the Rio Grande Valley region.
  • D. Aída Chávez
    Aída Chávez is a journalist and political reporter known for her coverage of U.S. politics and progressive movements.
  • E. Yolanda Ramos
    Yolanda Ramos is a Spanish actress and comedian known for her work in television, film, and theater, particularly in Spanish comedy shows and movies.
  • 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: Mónica Cruz
Triple: [Penélope Cruz, sibling, Mónica Cruz]
Generated description
Mónica Cruz is a Spanish actress and professional dancer known for her work in film and television as well as for her resemblance to her sister, Penélope Cruz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mónica Cruz
Target entity description: Mónica Cruz is a Spanish actress and professional dancer known for her work in film and television as well as for her resemblance to her sister, Penélope Cruz.
  • A. Mónica Naranjo
    Mónica Naranjo is a Spanish singer and songwriter known for her powerful vocal range and influential pop and dance music career since the 1990s.
  • B. Corina Figueroa Escamilla
    Corina Figueroa Escamilla is known as the wife of American singer-songwriter Conor Oberst.
  • C. Monica De La Cruz
    Monica De La Cruz is a Republican politician and U.S. Representative from South Texas, known for being the first Latina Republican elected to Congress from the Rio Grande Valley region.
  • D. Aída Chávez
    Aída Chávez is a journalist and political reporter known for her coverage of U.S. politics and progressive movements.
  • E. Yolanda Ramos
    Yolanda Ramos is a Spanish actress and comedian known for her work in television, film, and theater, particularly in Spanish comedy shows and movies.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9056acc8190a9c50ec374851ac8 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdc9089481909e9ef5f5e7edeaa6 completed March 14, 2026, 2:54 a.m.
NEDg Description generation batch_69b4cf5535748190b5dc3f23d1692e51 completed March 14, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_69b4cfc29a18819087935c16f6ecd9e4 completed March 14, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:15 p.m.