Triple

T17569899
Position Surface form Disambiguated ID Type / Status
Subject Zinat-un-Nissa E427907 entity
Predicate sibling P363 FINISHED
Object Zeb-un-Nissa 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: Zeb-un-Nissa | Statement: [Zinat-un-Nissa, sibling, Zeb-un-Nissa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeb-un-Nissa
Context triple: [Zinat-un-Nissa, sibling, Zeb-un-Nissa]
  • A. Zeb-un-Nissa chosen
    Zeb-un-Nissa was a Mughal princess and noted Persian-language poet renowned for her literary works and intellectual pursuits in 17th-century India.
  • B. Juwayriya
    Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
  • C. Rawdah
    Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
  • D. Zubeidaa
    Zubeidaa is a 2001 Indian biographical drama film directed by Shyam Benegal, known for its portrayal of a free-spirited actress who becomes entangled in royal politics and personal tragedy.
  • E. Mubaira
    Mubaira is a small town located in the Mashonaland West Province of northern Zimbabwe.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592fe8408190bd8fed1920ab3601 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.