Triple

T23306543
Position Surface form Disambiguated ID Type / Status
Subject María Valverde E590456 entity
Predicate actedIn P1668 FINISHED
Object Ali and Nino NE NERFINISHED

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: Ali and Nino | Statement: [María Valverde, actedIn, Ali and Nino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali and Nino
Context triple: [María Valverde, actedIn, Ali and Nino]
  • A. Ali & Nino chosen
    Ali & Nino is a 2016 historical romance film set in early 20th-century Azerbaijan, depicting a love story across cultural and religious divides amid war and political upheaval.
  • B. Nazarin
    Nazarin is a 1959 Spanish-Mexican drama film directed by Luis Buñuel, acclaimed for its exploration of faith, morality, and social injustice.
  • C. Hassan wa Morcus
    Hassan wa Morcus is an Egyptian comedy film starring Adel Emam that tackles themes of religious coexistence and sectarian tension through the story of a Muslim and a Christian who are forced to swap identities.
  • D. Tareeno
    Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
  • E. Laila Laila
    "Laila Laila" is a popular Hindi song from the acclaimed black comedy thriller film Andhadhun, known for its catchy melody and playful, romantic vibe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972737c08190bd011776564c3861 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.