Triple

T13993628
Position Surface form Disambiguated ID Type / Status
Subject Sex and Love E336640 entity
Predicate producer P490 FINISHED
Object Romeo Santos E227573 NE FINISHED

How this triple was built (2 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: Romeo Santos | Statement: [Sex and Love, producer, Romeo Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romeo Santos
Context triple: [Sex and Love, producer, Romeo Santos]
  • A. Romeo Santos chosen
    Romeo Santos is an American singer, songwriter, and former lead vocalist of the bachata group Aventura, widely known as the “King of Bachata” for popularizing the genre worldwide.
  • B. Jose Montaner
    Jose Montaner is the entrepreneur who created the Medieval Times Dinner & Tournament chain of medieval-themed dinner theater attractions.
  • C. Sebastián Yatra
    Sebastián Yatra is a Colombian singer and songwriter known for his romantic Latin pop and reggaeton hits across the Spanish-speaking world.
  • D. Prince Royce
    Prince Royce is a Dominican-American bachata singer and songwriter known for popular hits like his Spanish-language cover of "Stand by Me."
  • E. Farruko
    Farruko is a Puerto Rican singer and songwriter known for his influential role in reggaeton and Latin trap music.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb3b5d881909f15a1e08bb202f3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9a7e8c8190a0fd0cd67ff50741 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.