Triple

T21109087
Position Surface form Disambiguated ID Type / Status
Subject Vaikom Muhammad Basheer E520128 entity
Predicate familyName P18 FINISHED
Object Basheer 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: Basheer | Statement: [Vaikom Muhammad Basheer, familyName, Basheer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basheer
Context triple: [Vaikom Muhammad Basheer, familyName, Basheer]
  • A. Vaikom Muhammad Basheer chosen
    Vaikom Muhammad Basheer was a celebrated 20th-century Malayalam writer known for his humanistic themes, simple yet powerful prose, and pioneering contributions to modern Indian literature.
  • B. Tahir Hussain
    Tahir Hussain was an Indian film producer and director in the Hindi film industry, best known as the father of actor Aamir Khan.
  • C. Irshad Kamil
    Irshad Kamil is a prominent Indian lyricist best known for his poetic and emotionally resonant songs in contemporary Hindi cinema.
  • D. Zaki Azmi
    Zaki Azmi is a prominent Malaysian jurist and former Chief Justice of Malaysia who later served as Chief Justice of the DIFC Courts in Dubai.
  • E. Kaifi Azmi
    Kaifi Azmi was a renowned Indian Urdu poet, lyricist, and social activist known for his progressive, socially conscious writing and influential contributions to Indian literature and cinema.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7210110a48190a6359b6732f6293d completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.