Triple

T6297915
Position Surface form Disambiguated ID Type / Status
Subject Yasin E141176 entity
Predicate halfBrother P363 FINISHED
Object Kamal E131184 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: Kamal | Statement: [Yasin, halfBrother, Kamal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamal
Context triple: [Yasin, halfBrother, Kamal]
  • A. Kamal
    Kamal is a central figure in Naguib Mahfouz’s novel "Sugar Street," representing the introspective, politically aware younger generation within the multi-generational Cairo family saga.
  • B. Kamal
    Kamal is a given name shared by various notable individuals across politics, arts, and other fields in the Arabic-speaking world and beyond.
  • C. Kamal chosen
    Kamal is a central figure in Naguib Mahfouz's novel "Palace of Desire," portrayed as a complex, introspective young man grappling with desire, morality, and modernity in early 20th-century Cairo.
  • D. Salim
    Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
  • E. Aziz
    Aziz is a common Arabic male given name meaning "powerful," "respected," or "dear."
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643bd0748190af7abbebb6f94242 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c51993b8ec8190a0813d66851ac201 completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:27 p.m.