Triple

T16387707
Position Surface form Disambiguated ID Type / Status
Subject Azad Rao Khan E397965 entity
Predicate givenName P17 FINISHED
Object Azad E136876 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: Azad | Statement: [Azad Rao Khan, givenName, Azad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azad
Context triple: [Azad Rao Khan, givenName, Azad]
  • A. Azad chosen
    Azad is the revolutionary alias of Chandrasekhar Azad, a prominent Indian freedom fighter who played a key role in the struggle against British colonial rule.
  • B. Abdi
    Abdi is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • C. Mohammadzai
    Mohammadzai is a prominent Pashtun tribal clan from Afghanistan historically associated with the Barakzai dynasty and rulers such as Emir Dost Mohammad Khan.
  • D. Zafar
    Zafar was an important ancient South Arabian city that served as the political and cultural center of the Himyarite Kingdom in what is now Yemen.
  • E. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263e1534819081a6bf5006c611c5 completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356ed47c819085aaf101459dd55c completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.