Triple

T22842008
Position Surface form Disambiguated ID Type / Status
Subject Hamdy E566105 entity
Predicate transliterationOf P5923 FINISHED
Object حمدي 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: حمدي | Statement: [Hamdy, transliterationOf, حمدي]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: حمدي
Context triple: [Hamdy, transliterationOf, حمدي]
  • A. Hamid
    Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • B. Mohammadi
    Mohammadi is a common Persian-language surname widely used in Iran, Afghanistan, and other parts of the Middle East and Central Asia.
  • C. Mahdi Ali
    Mahdi Ali is an Emirati football manager best known for leading the United Arab Emirates national team through a successful period that included a 2013 Gulf Cup title and strong Asian Cup performances.
  • D. Hamed chosen
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • E. Mahdi al-Hafez
    Mahdi al-Hafez was an Iraqi politician and economist who played a key role in post-2003 reconstruction efforts, notably serving in the interim government after the fall of Saddam Hussein.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e855abc8190b9cf8cc515090a7f completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.