Triple

T21387897
Position Surface form Disambiguated ID Type / Status
Subject Sergio Marquina E527553 entity
Predicate romanticPartner P9994 FINISHED
Object Raquel Murillo NE NERFINISHED

How this triple was built (2 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: Raquel Murillo | Statement: [Sergio Marquina, romanticPartner, Raquel Murillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raquel Murillo
Context triple: [Sergio Marquina, romanticPartner, Raquel Murillo]
  • A. Raquel Murillo chosen
    Raquel Murillo is a central character in the Spanish series "Money Heist," initially a police inspector who later joins the Professor's gang and adopts the alias Lisbon.
  • B. Carla García
    Carla García is one of the four Dominican-American sisters whose coming-of-age experiences in the United States are central to Julia Alvarez’s novel "How the García Girls Lost Their Accents."
  • C. Yolanda Díaz
    Yolanda Díaz is a Spanish labor lawyer and left-wing politician who has served as Spain’s Second Deputy Prime Minister and Minister of Labour and Social Economy.
  • D. Sofía Correa
    Sofía Correa is a daughter of former Ecuadorian president Rafael Correa.
  • E. Sila María Calderón
    Sila María Calderón is a Puerto Rican politician who served as the island’s first female governor from 2001 to 2005.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cb05288190a894f33850e22c03 completed April 26, 2026, 7:08 p.m.
Created at: April 16, 2026, 5:12 p.m.