Triple

T14213158
Position Surface form Disambiguated ID Type / Status
Subject Whip It E352280 entity
Predicate castMember P1668 FINISHED
Object Julio Oscar Mechoso E909138 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: Julio Oscar Mechoso | Statement: [Whip It, castMember, Julio Oscar Mechoso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julio Oscar Mechoso
Context triple: [Whip It, castMember, Julio Oscar Mechoso]
  • A. Julio Oscar Mechoso chosen
    Julio Oscar Mechoso was a Cuban-born American character actor known for his extensive work in film and television, often portraying memorable supporting roles across dramas and comedies.
  • B. José Ybarra-Jaegar
    José Ybarra-Jaegar is a minor character in Truman Capote’s novella "Breakfast at Tiffany’s," appearing within Holly Golightly’s New York social circle.
  • C. Luis Martínez-Feduchi
    Luis Martínez-Feduchi was a Spanish architect known for his influential early 20th-century modernist works in Madrid.
  • D. Andrés García-Lorido
    Andrés García-Lorido is a member of the García-Lorido family, known in part through their connections to the entertainment industry.
  • E. J. David López-Salido
    J. David López-Salido is an economist known for his coauthored research in macroeconomics and monetary policy, including work with Jordi Galí.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620f07bc81909212dcd1c91b5f95 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19574280819091bafd95a75983bf completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:06 a.m.