Triple

T14995557
Position Surface form Disambiguated ID Type / Status
Subject Yalitza Aparicio E373950 entity
Predicate debutWork P3278 FINISHED
Object Roma E76465 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: Roma | Statement: [Yalitza Aparicio, debutWork, Roma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roma
Context triple: [Yalitza Aparicio, debutWork, Roma]
  • A. Roma chosen
    Roma is a critically acclaimed 2018 Mexican drama film directed by Alfonso Cuarón, celebrated for its intimate portrayal of a domestic worker in 1970s Mexico City and its innovative black-and-white cinematography.
  • B. Roma
    Roma is a rural town in Queensland, Australia, known as a regional service and transport hub for the surrounding agricultural and gas-producing areas.
  • C. Roma
    Roma is a historic, centrally located neighborhood in Mexico City known for its tree-lined streets, early 20th-century architecture, and vibrant cultural and culinary scene.
  • D. Roma
    Roma is the historic capital city of Italy, renowned for its ancient Roman ruins, art, architecture, and central role in Western civilization and the Catholic Church.
  • E. Roma
    "Roma" is an opera by French composer Jules Massenet, known for its dramatic depiction of ancient Roman themes and its late-Romantic musical style.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded718e4288190b5e144f82299a194 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fec8741c048190b549782f49969f6a completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 2:53 a.m.