Triple

T19273600
Position Surface form Disambiguated ID Type / Status
Subject Mammo E481989 entity
Predicate followedBy P78 FINISHED
Object Sardari Begum 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: Sardari Begum | Statement: [Mammo, followedBy, Sardari Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sardari Begum
Context triple: [Mammo, followedBy, Sardari Begum]
  • A. Sardari Begum chosen
    Sardari Begum is a 1996 Indian drama film directed by Shyam Benegal that explores the life, struggles, and legacy of a classical singer and courtesan against the backdrop of changing social values.
  • B. Diwanji Begum
    Diwanji Begum was a Mughal noblewoman best known as the mother of Mumtaz Mahal, the empress for whom the Taj Mahal was built.
  • C. Sardar Begum
    Sardar Begum was the mother of Pakistani jurist and philosopher Javid Iqbal and the wife of renowned poet-philosopher Allama Muhammad Iqbal.
  • D. Aisan Daulat Begum
    Aisan Daulat Begum was a prominent Central Asian noblewoman and matriarch of the Timurid-Moghul lineage, best known as the grandmother and influential early guardian of the Mughal emperor Babur.
  • E. Gul Hayat Begum
    Gul Hayat Begum was the wife of prominent Sindhi nationalist leader and intellectual G. M. Syed.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbba7758819081c1c78667c59c5e completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.