Triple

T11739048
Position Surface form Disambiguated ID Type / Status
Subject Sahibzada Jujhar Singh E279104 entity
Predicate title P38 FINISHED
Object Sahibzada E379611 NE FINISHED

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: Sahibzada | Statement: [Sahibzada Jujhar Singh, title, Sahibzada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sahibzada
Context triple: [Sahibzada Jujhar Singh, title, Sahibzada]
  • A. Shahzada chosen
    Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
  • B. Raza Sahib
    Raza Sahib was an 18th-century military leader in southern India who commanded forces during the Siege of Arcot in the Carnatic Wars.
  • C. Shamsher
    Shamsher is the given first name of legendary Indian film actor and director Shammi Kapoor, a major star of Hindi cinema’s golden era.
  • D. Chanda Sahib
    Chanda Sahib was an 18th-century Indian ruler and military leader who played a central role in the Carnatic Wars, notably opposing the British during conflicts such as the Siege of Arcot.
  • E. Khushal
    Khushal is a male given name of Persian origin commonly used in South Asia, meaning "happy" or "prosperous."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4ef1c4881909ad36dc27b1fe193 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019c339cc81909967ecfa234e4ab8 completed April 28, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:41 p.m.