Triple

T956806
Position Surface form Disambiguated ID Type / Status
Subject Narcos E20641 entity
Predicate followedBy P78 FINISHED
Object Narcos: Mexico E20641 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: Narcos: Mexico | Statement: [Narcos, followedBy, Narcos: Mexico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narcos: Mexico
Context triple: [Narcos, followedBy, Narcos: Mexico]
  • A. Narcos chosen
    Narcos is a crime drama television series that chronicles the rise and fall of notorious drug cartels in Colombia, focusing on figures like Pablo Escobar and the Medellín Cartel.
  • B. Money Heist
    Money Heist is a Spanish crime drama television series that follows a criminal mastermind and his team as they execute meticulously planned, high-stakes heists.
  • C. Breaking Bad
    Breaking Bad is a critically acclaimed American television drama series that follows a high school chemistry teacher’s transformation into a ruthless methamphetamine manufacturer.
  • D. Sicario
    Sicario is a 2015 crime thriller film about an idealistic FBI agent drawn into the brutal, morally ambiguous world of the U.S.–Mexico drug war.
  • E. Mr. Robot
    Mr. Robot is a critically acclaimed psychological thriller television series about a socially anxious hacker drawn into an underground cyber-activist group.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3f981bc819098125554eeeb6375 completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933b00a58819084164f3dd3ecb070 completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:40 p.m.