Triple

T14657976
Position Surface form Disambiguated ID Type / Status
Subject Law of Desire E344157 entity
Predicate starring P1507 FINISHED
Object Miguel Molina
Miguel Molina is a Spanish actor best known for his work in 1980s and 1990s Spanish cinema, including collaborations with director Pedro Almodóvar.
E1235829 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: Miguel Molina | Statement: [Law of Desire, starring, Miguel Molina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miguel Molina
Context triple: [Law of Desire, starring, Miguel Molina]
  • A. Miguel Vargas
    Miguel Vargas is the principled Mexican narcotics official portrayed by Charlton Heston in Orson Welles's classic film noir "Touch of Evil."
  • B. Miguel Sanchez
    Miguel Sanchez is a musical track featured on the release "More Fish."
  • C. Miguel Benítez
    Miguel Benítez is a relatively obscure individual known primarily for sharing the common Spanish surname Benítez, with limited widely documented public information about his life or achievements.
  • D. Miguel Domínguez
    Miguel Domínguez was a Mexican lawyer and colonial official best known for his role in the early independence movement alongside his wife, Josefa Ortiz de Domínguez.
  • E. Miguel García
    Miguel García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
  • 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: Miguel Molina
Triple: [Law of Desire, starring, Miguel Molina]
Generated description
Miguel Molina is a Spanish actor best known for his work in 1980s and 1990s Spanish cinema, including collaborations with director Pedro Almodóvar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miguel Molina
Target entity description: Miguel Molina is a Spanish actor best known for his work in 1980s and 1990s Spanish cinema, including collaborations with director Pedro Almodóvar.
  • A. Miguel Vargas
    Miguel Vargas is the principled Mexican narcotics official portrayed by Charlton Heston in Orson Welles's classic film noir "Touch of Evil."
  • B. Miguel Sanchez
    Miguel Sanchez is a musical track featured on the release "More Fish."
  • C. Miguel Benítez
    Miguel Benítez is a relatively obscure individual known primarily for sharing the common Spanish surname Benítez, with limited widely documented public information about his life or achievements.
  • D. Miguel Domínguez
    Miguel Domínguez was a Mexican lawyer and colonial official best known for his role in the early independence movement alongside his wife, Josefa Ortiz de Domínguez.
  • E. Miguel García
    Miguel García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b272ea6c8190b22fd78081446701 completed May 10, 2026, 4:29 p.m.
NEDg Description generation batch_6a00b385d9ec81908aa44d64a8da53d0 completed May 10, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_6a00b82b89c0819085fe73fda0d98654 completed May 10, 2026, 4:54 p.m.
Created at: April 10, 2026, 1:27 a.m.