Triple

T14807072
Position Surface form Disambiguated ID Type / Status
Subject Outlaw E348064 entity
Predicate productionCompany P490 FINISHED
Object Conaco E1094440 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: Conaco | Statement: [Outlaw, productionCompany, Conaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conaco
Context triple: [Outlaw, productionCompany, Conaco]
  • A. Conaco chosen
    Conaco is a television production company created by comedian and talk show host Conan O'Brien, best known for producing his late-night shows and related projects.
  • B. Niquero
    Niquero is a coastal town and municipality in Granma Province, Cuba, known for its historical role in the Cuban Revolution and proximity to important coastal and natural areas.
  • C. Guandacol
    Guandacol is a small town in northwestern Argentina, located in La Rioja Province and known for its arid landscapes and nearby paleontological sites.
  • D. Wanka
    Wanka is a song featured on the album "Legend of the Sun Virgin" by New Zealand singer-songwriter Bic Runga.
  • E. Tetela
    Tetela is a Bantu language spoken primarily by the Tetela people of central Democratic Republic of the Congo.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf33b6a08190ab6a4cfeda2cc09c completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c8bc6881908736c029943997ae completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:41 a.m.