Triple

T52932
Position Surface form Disambiguated ID Type / Status
Subject Darkness and Light E1039 entity
Predicate featuresArtist P1952 FINISHED
Object Miguel
Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
 E8949 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 | Statement: [Darkness and Light, featuresArtist, Miguel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miguel
Context triple: [Darkness and Light, featuresArtist, Miguel]
  • A. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • B. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • C. Esperanza
    Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
  • D. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • E. Gabriel
    Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
  • 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
Triple: [Darkness and Light, featuresArtist, Miguel]
Generated description
Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miguel
Target entity description: Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
  • A. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • B. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • C. Esperanza
    Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
  • D. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • E. Gabriel
    Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24ec4d84c81908d85a1e941dbcd19 completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a266e716048190a57f681fccb4fdeb completed Feb. 28, 2026, 3:54 a.m.
NEDg Description generation batch_69a267b740388190a321023aa52a539a completed Feb. 28, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69a2685dc64c8190bd611985d1bc27a3 completed Feb. 28, 2026, 4 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.