Triple

T13993647
Position Surface form Disambiguated ID Type / Status
Subject Sex and Love E336640 entity
Predicate hasPart P35 FINISHED
Object El Perdedor E881130 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: El Perdedor | Statement: [Sex and Love, hasPart, El Perdedor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Perdedor
Context triple: [Sex and Love, hasPart, El Perdedor]
  • A. El Perdedor chosen
    "El Perdedor" is a popular Latin pop/reggaeton song by Colombian singer Maluma that significantly boosted his international recognition.
  • B. Gone
    "Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
  • C. Gone
    "Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
  • D. Gone
    "Gone" is a song featured on the album "Music" by American singer Madonna.
  • E. Gone
    "Gone" is a punk rock song by The Bouncing Souls, known for its melodic hooks and emotionally charged lyrics about loss and moving on.
  • 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.