Triple

T22981999
Position Surface form Disambiguated ID Type / Status
Subject Hassan wa Naima E571492 entity
Predicate hasMainCharacter P1183 FINISHED
Object Hassan 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: Hassan | Statement: [Hassan wa Naima, hasMainCharacter, Hassan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hassan
Context triple: [Hassan wa Naima, hasMainCharacter, Hassan]
  • A. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • B. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • C. Hassan
    Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
  • D. Hassan
    Hassan is a city in the Indian state of Karnataka known as a regional hub and gateway to several important historical and religious sites.
  • E. Hassan
    Hassan is a hip-hop music producer known for contributing production work to Ghostface Killah’s acclaimed album "Supreme Clientele."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829645f88190aea1b96ea595ff60 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.