Triple

T21108325
Position Surface form Disambiguated ID Type / Status
Subject Heer E520109 entity
Predicate appearsIn P795 FINISHED
Object Heer Waris Shah 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: Heer Waris Shah | Statement: [Heer, appearsIn, Heer Waris Shah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heer Waris Shah
Context triple: [Heer, appearsIn, Heer Waris Shah]
  • A. Waris Shah chosen
    Waris Shah was an 18th-century Punjabi Sufi poet best known for his seminal romantic epic "Heer Ranjha," a cornerstone of Punjabi literature.
  • B. Mirza Sahiban
    Mirza Sahiban is a classic Punjabi tragic love story and folk romance that has been retold in poetry, song, and literature across generations.
  • C. Bulleh Shah
    Bulleh Shah was an 18th-century Punjabi Sufi poet and humanist whose mystical verses profoundly shaped Punjabi literature and spiritual thought.
  • D. Banda Daud Shah
    Banda Daud Shah is a town in Pakistan’s Khyber Pakhtunkhwa province known for its role as a local administrative and commercial center within Karak District.
  • E. Wazir Khan of Sirhind
    Wazir Khan of Sirhind was a Mughal governor and military commander notorious in Sikh history for ordering the execution of Guru Gobind Singh’s young sons and leading campaigns against the Sikhs.
  • 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_69e720ffa998819082db225363ac3b23 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.