Triple

T14655605
Position Surface form Disambiguated ID Type / Status
Subject Broken Embraces E344099 entity
Predicate starring P1507 FINISHED
Object Lluís Homar E1137264 NE FINISHED

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: Lluís Homar | Statement: [Broken Embraces, starring, Lluís Homar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lluís Homar
Context triple: [Broken Embraces, starring, Lluís Homar]
  • A. Lluís Homar chosen
    Lluís Homar is a Spanish actor and director known for his work in film, television, and theater, including prominent roles in acclaimed Spanish cinema.
  • B. Jorge Vilda
    Jorge Vilda is a Spanish football manager best known for his long and controversial tenure in charge of Spain’s women’s national team, culminating in their 2023 World Cup triumph before his dismissal.
  • C. Antonio Tabares
    Antonio Tabares is a contemporary Spanish playwright known for works such as the drama that inspired "The Tip of the Iceberg."
  • D. Juan Molinero
    Juan Molinero is a person notable enough to be recognized as a prominent bearer of the surname Molinero.
  • E. Manuel Tames
    Manuel Tames is a municipality in eastern Cuba’s Guantánamo Province, known primarily as a rural agricultural area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51a562c819098971447db4b29f7 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7cfd9d08190b5b95f6dc0a08537 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 1:27 a.m.