Triple

T4057875
Position Surface form Disambiguated ID Type / Status
Subject Isa E84737 entity
Predicate mother P120 FINISHED
Object Maryam E153359 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: Maryam | Statement: [Isa, mother, Maryam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maryam
Context triple: [Isa, mother, Maryam]
  • A. Maryam chosen
    Maryam is a revered figure in Islam, honored in the Qur’an as the mother of Prophet Isa (Jesus) and a model of piety and devotion.
  • B. Aisha
    Aisha is a central female character in Naguib Mahfouz’s novel "Palace of Desire," whose relationships and personal struggles reflect the broader social and emotional tensions of early 20th-century Cairo.
  • C. Aisha
    Aisha is a central female protagonist in Naguib Mahfouz’s novel "Palace Walk," representing the complexities of family life and social change in early 20th-century Cairo.
  • D. Aisha
    Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
  • E. Aisha
    Aisha is a prominent early Islamic figure known as a wife of the Prophet Muhammad and a significant transmitter of hadith.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbaefcb081908aab3963dcd61a20 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562a6250081908f289f43b066b04d completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.