Triple

T21944814
Position Surface form Disambiguated ID Type / Status
Subject Hu Tu Tu E541907 entity
Predicate producedBy P490 FINISHED
Object Hasmukh 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: Hasmukh Shah | Statement: [Hu Tu Tu, producedBy, Hasmukh Shah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hasmukh Shah
Context triple: [Hu Tu Tu, producedBy, Hasmukh Shah]
  • A. Mahipat Shah
    Mahipat Shah was a historical monarch who ruled the Garhwal Kingdom in the Himalayan region of present-day Uttarakhand, India.
  • B. Dalpat Shah
    Dalpat Shah was a 16th-century Gond ruler of Garha-Katanga in central India, best known as the husband of the warrior queen Rani Durgavati.
  • C. Bahadur Shah of Gujarat
    Bahadur Shah of Gujarat was a 16th-century Sultan of the Gujarat Sultanate known for his military resistance against the Mughal Empire and his efforts to maintain the region’s independence.
  • D. Ahmad Shah I of Gujarat
    Ahmad Shah I of Gujarat was a 15th-century Sultan of the Gujarat Sultanate in western India, renowned for founding the city of Ahmedabad and consolidating the region as a powerful independent kingdom.
  • E. Dhirajlal Shah chosen
    Dhirajlal Shah is an Indian film producer known for backing Hindi-language movies, including notable political drama projects.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.