Triple

T10714935
Position Surface form Disambiguated ID Type / Status
Subject Maluma E252637 entity
Predicate notableWork P4 FINISHED
Object Borró Cassette
"Borró Cassette" is a popular reggaeton song by Colombian singer Maluma that significantly boosted his international fame.
E881129 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: Borró Cassette | Statement: [Maluma, notableWork, Borró Cassette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borró Cassette
Context triple: [Maluma, notableWork, Borró Cassette]
  • A. Tape
    Tape is a stage play by Stephen Belber that explores memory, truth, and moral ambiguity through an intense three-character confrontation in a motel room.
  • B. Tapez
    Tapez is a music artist best known as one half of the duo Boogz & Tapez.
  • C. Discman
    Discman is Sony’s line of portable CD players that succeeded the cassette-based Walkman as a popular personal audio device.
  • D. Tarkus
    Tarkus is a 1971 progressive rock album by Emerson, Lake & Palmer, renowned for its ambitious multi-part title suite and complex, keyboard-driven compositions.
  • E. Eraser
    Eraser is a 1996 action thriller film starring Arnold Schwarzenegger as a U.S. Marshal who protects a key witness while uncovering a high-tech weapons conspiracy.
  • 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: Borró Cassette
Triple: [Maluma, notableWork, Borró Cassette]
Generated description
"Borró Cassette" is a popular reggaeton song by Colombian singer Maluma that significantly boosted his international fame.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Borró Cassette
Target entity description: "Borró Cassette" is a popular reggaeton song by Colombian singer Maluma that significantly boosted his international fame.
  • A. Tape
    Tape is a stage play by Stephen Belber that explores memory, truth, and moral ambiguity through an intense three-character confrontation in a motel room.
  • B. Tapez
    Tapez is a music artist best known as one half of the duo Boogz & Tapez.
  • C. Discman
    Discman is Sony’s line of portable CD players that succeeded the cassette-based Walkman as a popular personal audio device.
  • D. Tarkus
    Tarkus is a 1971 progressive rock album by Emerson, Lake & Palmer, renowned for its ambitious multi-part title suite and complex, keyboard-driven compositions.
  • E. Eraser
    Eraser is a 1996 action thriller film starring Arnold Schwarzenegger as a U.S. Marshal who protects a key witness while uncovering a high-tech weapons conspiracy.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff324d1881908b7cdf4ac208125f completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9991f650881908d8db6e44b2c4543 completed April 11, 2026, 12:43 a.m.
NEDg Description generation batch_69d99e86e198819080f71400295a31e7 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadccd1d7081908ae53b97d2c2a6cb completed April 11, 2026, 11:44 p.m.
Created at: April 8, 2026, 9:13 p.m.