Triple

T3204884
Position Surface form Disambiguated ID Type / Status
Subject Wissam Al Mana E67137 entity
Predicate name P16 FINISHED
Object Wissam Al Mana E67137 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: Wissam Al Mana | Statement: [Wissam Al Mana, name, Wissam Al Mana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wissam Al Mana
Context triple: [Wissam Al Mana, name, Wissam Al Mana]
  • A. Wissam Al Mana chosen
    Wissam Al Mana is a Qatari businessman and executive known for his leadership in the Al Mana Group, a major Middle Eastern retail and investment conglomerate.
  • B. Abdullah Hammoud
    Abdullah Hammoud is an American politician who became the first Arab American and Muslim mayor of Dearborn, Michigan, known for his progressive policies and advocacy for public health and civil rights.
  • C. Moez Limayem
    Moez Limayem is an academic leader and scholar who serves as the president of the University of North Florida.
  • D. Nawaf Salam
    Nawaf Salam is a Lebanese diplomat, jurist, and former UN ambassador who serves as President of the International Court of Justice.
  • E. Abdulla Al Mandous
    Abdulla Al Mandous is an Emirati meteorologist and climate expert who serves as president of the World Meteorological Organization, helping to guide global policy and cooperation on weather, climate, and water issues.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa559848819082d1e61f586278dd completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcbb0e88190b4413c4ba3de0eeb completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.