Triple

T5918394
Position Surface form Disambiguated ID Type / Status
Subject The Nightingale's Prayer E131637 entity
Predicate productionCompany P490 FINISHED
Object Aflam Nahas E556946 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: Aflam Nahas | Statement: [The Nightingale's Prayer, productionCompany, Aflam Nahas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aflam Nahas
Context triple: [The Nightingale's Prayer, productionCompany, Aflam Nahas]
  • A. Aflam Nahas chosen
    Aflam Nahas is a film production company known for producing the classic Egyptian drama "The Nightingale's Prayer."
  • B. Bakhah
    Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
  • C. Naqa
    Naqa was an ancient city and religious center of the Kingdom of Meroë in what is now Sudan, notable for its well-preserved temples and Kushite-period monuments.
  • D. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • E. Abasha
    Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037feb9d8819089bf68e3a4a53534 completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e39ea48c8190a968f81f0e26ccbf completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 3:59 p.m.