Triple

T8444553
Position Surface form Disambiguated ID Type / Status
Subject Oak E199639 entity
Predicate notableWorkWith P26239 FINISHED
Object Miguel
Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending hits like "Adorn."
 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: [Oak, notableWorkWith, Miguel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miguel
Context triple: [Oak, notableWorkWith, Miguel]
  • A. Miguel
    Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
  • B. Miguel
    Miguel is a Spanish given name widely used in the Hispanic world, notably borne by figures such as Mexican independence leader Miguel Hidalgo y Costilla.
  • C. Rodrigo
    Rodrigo is a masculine given name of Spanish and Portuguese origin, derived from the Germanic name Roderick and commonly used across the Spanish-speaking world.
  • D. Luis
    Luis is a comedic supporting character in the Marvel Cinematic Universe, best known as Scott Lang’s fast-talking friend and former cellmate in the Ant-Man films.
  • E. Luis
    Luis is the Spanish given name of Louis I of Spain, an 18th-century Bourbon king who briefly ruled the country.
  • 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: [Oak, notableWorkWith, Miguel]
Generated description
Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending hits like "Adorn."
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 hits like "Adorn."
  • A. Miguel chosen
    Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
  • B. Miguel
    Miguel is a Spanish given name widely used in the Hispanic world, notably borne by figures such as Mexican independence leader Miguel Hidalgo y Costilla.
  • C. Rodrigo
    Rodrigo is a masculine given name of Spanish and Portuguese origin, derived from the Germanic name Roderick and commonly used across the Spanish-speaking world.
  • D. Luis
    Luis is a comedic supporting character in the Marvel Cinematic Universe, best known as Scott Lang’s fast-talking friend and former cellmate in the Ant-Man films.
  • E. Luis
    Luis is the Spanish given name of Louis I of Spain, an 18th-century Bourbon king who briefly ruled the country.
  • F. None of above.

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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe3122cfc8190ac6103fa4e4a7c45 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dac8cb08190b74985a6ba3c938f completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1f3729e4819084600862b53c94a8 completed April 2, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fdde53c8190b356950f878b6b70 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:09 p.m.