Triple

T12647636
Position Surface form Disambiguated ID Type / Status
Subject Prince Ghazi bin Muhammad E302071 entity
Predicate givenName P17 FINISHED
Object Ghazi E998813 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: Ghazi | Statement: [Prince Ghazi bin Muhammad, givenName, Ghazi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghazi
Context triple: [Prince Ghazi bin Muhammad, givenName, Ghazi]
  • A. Ghazi al-Yawar
    Ghazi al-Yawar is an Iraqi politician and tribal leader who served as a key transitional figure after the 2003 invasion, including a term as interim president of Iraq.
  • B. Pasha Qasim
    Pasha Qasim was an Ottoman military leader and provincial governor whose legacy is notably marked by the mosque bearing his name in Pécs, Hungary.
  • C. Jalil
    Jalil is a masculine given name of Arabic origin meaning "great," "exalted," or "majestic."
  • D. Cassim
    Cassim is Ali Baba’s wealthy but greedy older brother in the classic Middle Eastern folk tale "Ali Baba and the Forty Thieves."
  • E. Ghazi bin Muhammad chosen
    Ghazi bin Muhammad is a Jordanian prince, Islamic scholar, and advisor to King Abdullah II known for his work in interfaith dialogue and religious thought.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615cf6f48190bd0983cf7465ab15 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c730b5c8190ae8dbb476e53729e completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:17 p.m.