Triple

T1896777
Position Surface form Disambiguated ID Type / Status
Subject Evolver E37600 entity
Predicate producer P490 FINISHED
Object Polow da Don
Polow da Don is an American record producer and songwriter known for crafting hit hip-hop and R&B tracks for major artists in the 2000s and 2010s.
 E211649 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: Polow da Don | Statement: [Evolver, producer, Polow da Don]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Polow da Don
Context triple: [Evolver, producer, Polow da Don]
  • A. Pól
    Pól is the Irish-language form of the given name Paul.
  • B. Pochutec
    Pochutec is an extinct Uto-Aztecan language once spoken in the Pochutla region of Oaxaca, Mexico.
  • C. Pacho
    Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
  • D. Chuncho
    "Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
  • E. Bello
    Bello is a Colombian city in the Aburrá Valley metropolitan area, just north of Medellín, known for its industrial activity and dense urban development.
  • 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: Polow da Don
Triple: [Evolver, producer, Polow da Don]
Generated description
Polow da Don is an American record producer and songwriter known for crafting hit hip-hop and R&B tracks for major artists in the 2000s and 2010s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Polow da Don
Target entity description: Polow da Don is an American record producer and songwriter known for crafting hit hip-hop and R&B tracks for major artists in the 2000s and 2010s.
  • A. Pól
    Pól is the Irish-language form of the given name Paul.
  • B. Pochutec
    Pochutec is an extinct Uto-Aztecan language once spoken in the Pochutla region of Oaxaca, Mexico.
  • C. Pacho
    Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
  • D. Chuncho
    "Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
  • E. Bello
    Bello is a Colombian city in the Aburrá Valley metropolitan area, just north of Medellín, known for its industrial activity and dense urban development.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb16f416c8190a49b24523b3a7f85 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaee6a048190afd01ab6339a2921 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adeb6f7f208190af892c3c25961438 completed March 8, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69adec28f9188190a58e1a9d792943f6 completed March 8, 2026, 9:37 p.m.
Created at: March 4, 2026, 7:35 p.m.