Triple

T14530867
Position Surface form Disambiguated ID Type / Status
Subject Nana Mensah E340910 entity
Predicate wrote P2831 FINISHED
Object Queen of Glory E1104092 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: Queen of Glory | Statement: [Nana Mensah, wrote, Queen of Glory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen of Glory
Context triple: [Nana Mensah, wrote, Queen of Glory]
  • A. Queen of Glory chosen
    Queen of Glory is an independent dramedy film written, directed by, and starring Nana Mensah, following a Ghanaian-American woman navigating family, culture, and identity in the Bronx.
  • B. Queen of Heaven
    Queen of Heaven is a traditional Christian title that honors the Virgin Mary as the exalted mother of Jesus and the most highly revered woman in heaven.
  • C. Rajkahini
    Rajkahini is a Bengali period drama film set against the backdrop of the 1947 Partition of Bengal, known for its ensemble cast of women and its exploration of displacement, violence, and identity.
  • D. Nagin
    Nagin is a surname most notably associated with Ray Nagin, the former mayor of New Orleans.
  • E. Nawayathi
    Nawayathi is an Indo-Aryan language variety spoken by the Nawayath Muslim community, primarily along the coastal regions of Karnataka in southwestern India.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94acd8288190a91bf09220126e13 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:22 a.m.