Triple

T11733010
Position Surface form Disambiguated ID Type / Status
Subject Moez Limayem E278946 entity
Predicate givenName P17 FINISHED
Object Moez
Moez is a masculine given name commonly used in Arabic-speaking and North African countries.
 E942267 NE FINISHED

How this triple was built (4 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 | Statement: [Moez Limayem, givenName, Moez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moez
Context triple: [Moez Limayem, givenName, Moez]
  • A. Muazzez
    Muazzez is a Turkish feminine given name borne by several notable women, including the prominent Sumerologist Muazzez İlmiye Çığ.
  • B. Moneer
    Moneer is a given name, typically an alternative transliteration of the Arabic name Munir, meaning "bright" or "illuminating."
  • C. Nadim
    Nadim is a masculine given name of Arabic origin commonly used in the Middle East and among Arabic-speaking communities worldwide.
  • D. Mohed
    Mohed is a small locality in central Sweden, situated within Söderhamn Municipality in Gävleborg County.
  • E. Rabil
    Rabil is a small town on the island of Boa Vista in Cape Verde, known for its proximity to beaches, dunes, and the island’s airport.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Moez
Triple: [Moez Limayem, givenName, Moez]
Generated description
Moez is a masculine given name commonly used in Arabic-speaking and North African countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moez
Target entity description: Moez is a masculine given name commonly used in Arabic-speaking and North African countries.
  • A. Muazzez
    Muazzez is a Turkish feminine given name borne by several notable women, including the prominent Sumerologist Muazzez İlmiye Çığ.
  • B. Moneer
    Moneer is a given name, typically an alternative transliteration of the Arabic name Munir, meaning "bright" or "illuminating."
  • C. Nadim
    Nadim is a masculine given name of Arabic origin commonly used in the Middle East and among Arabic-speaking communities worldwide.
  • D. Mohed
    Mohed is a small locality in central Sweden, situated within Söderhamn Municipality in Gävleborg County.
  • E. Rabil
    Rabil is a small town on the island of Boa Vista in Cape Verde, known for its proximity to beaches, dunes, and the island’s airport.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69ef9b68309081909f3f614efeeb2ab1 completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd6aba82c81909ff22e6b26db3cfe completed April 27, 2026, 9:35 p.m.
Created at: April 8, 2026, 9:41 p.m.