Triple

T11733009
Position Surface form Disambiguated ID Type / Status
Subject Moez Limayem E278946 entity
Predicate name P16 FINISHED
Object Moez Limayem E278946 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: Moez Limayem | Statement: [Moez Limayem, name, Moez Limayem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moez Limayem
Context triple: [Moez Limayem, name, Moez Limayem]
  • A. Moez Limayem chosen
    Moez Limayem is an academic leader and scholar who serves as the president of the University of North Florida.
  • B. Nayef Hawatmeh
    Nayef Hawatmeh is a Palestinian political leader and Marxist revolutionary best known as the longtime head of the Democratic Front for the Liberation of Palestine (DFLP).
  • C. Mohammad Salameh
    Mohammad Salameh is a Palestinian terrorist best known as one of the main conspirators in the 1993 World Trade Center bombing in New York City.
  • D. Wissam Al Mana
    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.
  • E. 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.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4daa7f48190896fc7653e9dd70b completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8406fe8881909722ecb040087e68 completed April 27, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:41 p.m.