Triple

T20080632
Position Surface form Disambiguated ID Type / Status
Subject The Tree of Blood E499989 entity
Predicate castMember P1668 FINISHED
Object Patricia López Arnaiz
Patricia López Arnaiz is a Spanish film and television actress known for her work in contemporary Spanish cinema and series.
E1439888 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: Patricia López Arnaiz | Statement: [The Tree of Blood, castMember, Patricia López Arnaiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia López Arnaiz
Context triple: [The Tree of Blood, castMember, Patricia López Arnaiz]
  • A. Patricia García
    Patricia García is a Spanish singer and performer known for her work in contemporary music and live stage shows.
  • B. María Cortés
    María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
  • C. Águeda López
    Águeda López is a Spanish model and television personality best known for her fashion work and public profile as the wife of singer Luis Fonsi.
  • D. María Barranco
    María Barranco is a Spanish actress best known for her work in Pedro Almodóvar’s films and for her acclaimed performances in late-20th-century Spanish cinema.
  • E. Patricia Varela
    Patricia Varela is a notable individual recognized for bearing the surname Varela.
  • 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: Patricia López Arnaiz
Triple: [The Tree of Blood, castMember, Patricia López Arnaiz]
Generated description
Patricia López Arnaiz is a Spanish film and television actress known for her work in contemporary Spanish cinema and series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Patricia López Arnaiz
Target entity description: Patricia López Arnaiz is a Spanish film and television actress known for her work in contemporary Spanish cinema and series.
  • A. Patricia García
    Patricia García is a Spanish singer and performer known for her work in contemporary music and live stage shows.
  • B. María Cortés
    María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
  • C. Águeda López
    Águeda López is a Spanish model and television personality best known for her fashion work and public profile as the wife of singer Luis Fonsi.
  • D. María Barranco
    María Barranco is a Spanish actress best known for her work in Pedro Almodóvar’s films and for her acclaimed performances in late-20th-century Spanish cinema.
  • E. Patricia Varela
    Patricia Varela is a notable individual recognized for bearing the surname Varela.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66557c19c8190b511857490bbd423 completed April 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08b3d1d0c081908edb5cbbe37057e2 completed May 16, 2026, 6:13 p.m.
NEDg Description generation batch_6a08b51e41c08190a4fb6f8879998046 completed May 16, 2026, 6:19 p.m.
NED2 Entity disambiguation (via description) batch_6a08b61db7288190840ed6784a64673d completed May 16, 2026, 6:23 p.m.
Created at: April 11, 2026, 3:41 p.m.