Triple

T21574646
Position Surface form Disambiguated ID Type / Status
Subject Dīvān of lyric poems E532365 entity
Predicate relatedWork P37 FINISHED
Object Yusuf and Zulaikha 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: Yusuf and Zulaikha | Statement: [Dīvān of lyric poems, relatedWork, Yusuf and Zulaikha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yusuf and Zulaikha
Context triple: [Dīvān of lyric poems, relatedWork, Yusuf and Zulaikha]
  • A. Yūsuf u Zulaykhā chosen
    Yūsuf u Zulaykhā is a celebrated Persian narrative poem by Jami that romantically and mystically retells the Qur’anic story of Joseph and Potiphar’s wife.
  • B. Yusuf
    Yusuf is a skilled chemist and dream architect in the film "Inception," responsible for creating the powerful sedatives used in shared dreaming heists.
  • C. Yusuf
    Yusuf is a common male given name of Arabic origin, widely used in Muslim communities and equivalent to the name Joseph.
  • D. Yusuf
    Yusuf is a revered prophet in Islamic tradition, known for his exemplary patience, prophetic dreams, and the Qur’anic narrative of his trials and rise to power in Egypt.
  • E. Umamah
    Umamah is a female given name of Arabic origin, historically borne by a granddaughter of the Prophet Muhammad.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cef2748190990a81967d49b706 completed April 27, 2026, 4:45 a.m.
Created at: April 16, 2026, 6:30 p.m.