Triple

T19839418
Position Surface form Disambiguated ID Type / Status
Subject Younes E476684 entity
Predicate hasTransliterationVariant P5923 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: [Younes, hasTransliterationVariant, Younis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Younis
Context triple: [Younes, hasTransliterationVariant, 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. Muhammad Wasim
    Muhammad Wasim was a Pakistani legal figure who became the country’s inaugural Attorney-General, helping to establish the role and its early precedents in Pakistan’s legal system.
  • E. Hashim
    Hashim is the given name of Prince Hashim bin Hussein, a member of the Jordanian royal family.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65804be608190b49e110c3bf381bc completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:50 p.m.