Triple

T1324143
Position Surface form Disambiguated ID Type / Status
Subject Aisha bint Abi Bakr E28286 entity
Predicate stepMotherOf P14091 FINISHED
Object Ibrahim ibn Muhammad E29617 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: Ibrahim ibn Muhammad | Statement: [Aisha bint Abi Bakr, stepMotherOf, Ibrahim ibn Muhammad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibrahim ibn Muhammad
Context triple: [Aisha bint Abi Bakr, stepMotherOf, Ibrahim ibn Muhammad]
  • A. Ibrahim ibn Muhammad chosen
    Ibrahim ibn Muhammad was the youngest son of the Prophet Muhammad, born in Medina and known for dying in infancy.
  • B. Muhammad al-Shaybani
    Muhammad al-Shaybani was an influential early Islamic jurist and student of Abu Hanifa who played a key role in systematizing and transmitting Hanafi jurisprudence.
  • C. Ibrahim
    Ibrahim is the name used in Islamic tradition for the prophet Abraham, a central patriarchal figure revered in Judaism, Christianity, and Islam.
  • D. Sayyid al-Taifa
    Sayyid al-Taifa is an honorific title meaning "Master of the (Sufi) Community," traditionally associated with the early Sufi leader al-Junayd of Baghdad.
  • E. Abdullah ibn Muhammad
    Abdullah ibn Muhammad was one of the sons of the Islamic prophet Muhammad who died in early childhood.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19caa148190a1f5be734b7d9005 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293872cc8190894581cff289627e completed March 8, 2026, 7:46 a.m.
Created at: March 1, 2026, 7:55 p.m.