Triple

T20552478
Position Surface form Disambiguated ID Type / Status
Subject Narcos: Mexico E504629 entity
Predicate openingTheme P2759 FINISHED
Object Tuyo E113261 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: Tuyo | Statement: [Narcos: Mexico, openingTheme, Tuyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuyo
Context triple: [Narcos: Mexico, openingTheme, Tuyo]
  • A. Tuyo chosen
    "Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
  • B. Tiko
    Tiko is a coastal town and port in southwestern Cameroon known for its agricultural activities and role as a transport hub.
  • C. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • D. Toma
    Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
  • E. Toma
    Toma is a 1970s American crime drama television series starring Tony Musante as a maverick undercover detective.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5d98c348190ac516bc2df59d878 completed April 20, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a573e43c8190918ce8cfbafff788 completed May 16, 2026, 5:12 p.m.
Created at: April 16, 2026, 11:38 a.m.