Triple

T21574329
Position Surface form Disambiguated ID Type / Status
Subject Haft Awrang E532358 entity
Predicate notableCharacter P1481 FINISHED
Object Majnun 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: Majnun | Statement: [Haft Awrang, notableCharacter, Majnun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Majnun
Context triple: [Haft Awrang, notableCharacter, Majnun]
  • A. Majnun chosen
    Majnun is the legendary, love-stricken poet of classical Arabic and Persian literature, famed for his tragic, obsessive love for Layla.
  • B. Gulaal
    Gulaal is a 2009 Indian political drama film directed by Anurag Kashyap that explores themes of power, student politics, and separatism in Rajasthan.
  • C. Chashme Shahi
    Chashme Shahi is a historic Mughal-era terraced garden in Srinagar, India, famed for its natural spring, manicured lawns, and panoramic views of Dal Lake and the surrounding mountains.
  • D. Aghaat
    Aghaat is a 1985 Hindi political drama film directed by Govind Nihalani, known for its intense portrayal of trade union politics and social conflict.
  • E. Maine Pyar Kiya
    Maine Pyar Kiya is a 1989 Indian romantic musical film that became a major Bollywood hit and launched Salman Khan to stardom.
  • 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.