Triple

T1745543
Position Surface form Disambiguated ID Type / Status
Subject Mirza Ghalib E38327 entity
Predicate familyName P18 FINISHED
Object Khan E64995 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: Khan | Statement: [Mirza Ghalib, familyName, Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khan
Context triple: [Mirza Ghalib, familyName, Khan]
  • A. Khan chosen
    Khan is a common surname of Central and South Asian origin historically associated with nobility and leadership, now widely used across Muslim and other communities worldwide.
  • B. Kahn
    Kahn is a surname most famously associated with Louis Kahn, the influential 20th-century architect known for his monumental and timeless modernist buildings.
  • C. Salim
    Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
  • D. Malik
    Malik is a common Arabic surname and given name used across various cultures, often meaning "king" or "owner."
  • E. Khan of Khans
    "Khan of Khans" is an exalted imperial title historically used to denote a supreme ruler above other khans, signifying paramount sovereignty and authority.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63e93f3481909f61d581f7a5bdfa completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0de0ff08190bb7758e3ba32de80 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.