Triple

T1812325
Position Surface form Disambiguated ID Type / Status
Subject My Humps E40357 entity
Predicate writer P1360 FINISHED
Object Polo Molina
Polo Molina is a music industry professional best known as a manager and executive closely associated with major pop and hip-hop artists.
E200801 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: Polo Molina | Statement: [My Humps, writer, Polo Molina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polo Molina
Context triple: [My Humps, writer, Polo Molina]
  • A. Montero Ríos
    Montero Ríos is the surname of Eugenio Montero Ríos, a prominent Spanish jurist and politician who served as Prime Minister of Spain in the early 20th century.
  • B. Tomas Arana
    Tomas Arana is an American actor known for his supporting roles in films such as "Gladiator," "The Hunt for Red October," and "The Dark Knight Rises."
  • C. Rafael Maroto
    Rafael Maroto was a Spanish general best known for his leading role on the royalist side during the Latin American wars of independence, particularly in Chile.
  • D. Ricardo Navarro
    Ricardo Navarro is a notable individual whose achievements or public presence have made the surname Navarro particularly recognized.
  • E. Juan Bohón
    Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
  • 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: Polo Molina
Triple: [My Humps, writer, Polo Molina]
Generated description
Polo Molina is a music industry professional best known as a manager and executive closely associated with major pop and hip-hop artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Polo Molina
Target entity description: Polo Molina is a music industry professional best known as a manager and executive closely associated with major pop and hip-hop artists.
  • A. Montero Ríos
    Montero Ríos is the surname of Eugenio Montero Ríos, a prominent Spanish jurist and politician who served as Prime Minister of Spain in the early 20th century.
  • B. Tomas Arana
    Tomas Arana is an American actor known for his supporting roles in films such as "Gladiator," "The Hunt for Red October," and "The Dark Knight Rises."
  • C. Rafael Maroto
    Rafael Maroto was a Spanish general best known for his leading role on the royalist side during the Latin American wars of independence, particularly in Chile.
  • D. Ricardo Navarro
    Ricardo Navarro is a notable individual whose achievements or public presence have made the surname Navarro particularly recognized.
  • E. Juan Bohón
    Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c775408190b4f5912786720e28 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e5142c8190bc90da38b02e95e2 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb69d10188190b78bece656249ecd completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8c122e881908f0640edc5aaf305 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.