Triple

T23081895
Position Surface form Disambiguated ID Type / Status
Subject Younis Khan E575496 entity
Predicate givenName P17 FINISHED
Object Younis 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: Younis | Statement: [Younis Khan, givenName, Younis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Younis
Context triple: [Younis Khan, givenName, Younis]
  • A. Younus chosen
    Younus is a male given name of Arabic origin, commonly associated with the Quranic and Biblical figure Jonah.
  • B. Waqar Younis
    Waqar Younis is a legendary Pakistani fast bowler renowned for his devastating reverse swing and prolific wicket-taking, particularly in one-day internationals.
  • C. Aqib
    Aqib is a masculine given name of Arabic origin meaning "successor" or "follower."
  • D. Zaheer
    Zaheer is a former Indian fast bowler renowned for his swing, accuracy, and pivotal role in India's 2011 Cricket World Cup triumph.
  • E. Mohammad Amir Naji
    Mohammad Amir Naji is an Iranian actor best known for his acclaimed performance in the internationally celebrated film "Children of Heaven."
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da239e48190ad041261c6b510a0 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:56 p.m.