Triple

T8484766
Position Surface form Disambiguated ID Type / Status
Subject ENOC E200804 entity
Predicate hasTrack P3284 FINISHED
Object Caramelo E200812 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: Caramelo | Statement: [ENOC, hasTrack, Caramelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caramelo
Context triple: [ENOC, hasTrack, Caramelo]
  • A. Caramelo chosen
    "Caramelo" is a popular reggaeton/Latin urban hit song by Puerto Rican singer Ozuna, known for its catchy melody and romantic lyrics.
  • B. Caramelo
    Caramelo is a novel by Sandra Cisneros that explores a Mexican American family’s history, identity, and intergenerational relationships through the memories tied to a cherished rebozo (shawl).
  • C. Caramelo Duro
    Caramelo Duro is a song featured on Miguel’s R&B album "War & Leisure."
  • D. Choladas
    "Choladas" is a track from the album "Voice of the Xtabay," likely reflecting the record’s distinctive blend of exotic, atmospheric, and Latin-influenced music.
  • E. Toffee
    Toffee is a calculating, immortal lizard-like monster and master strategist who serves as the primary villain opposing Star Butterfly in the animated series "Star vs. the Forces of Evil."
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe539b70c81909f8f045312f0d5f8 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a3d7cb481908b366f76639bb955 completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:12 p.m.