Triple

T15122864
Position Surface form Disambiguated ID Type / Status
Subject Hammoud E361210 entity
Predicate hasVariant P455 FINISHED
Object Hamoud
Hamoud is a given name and surname of Arabic origin, commonly used across the Middle East and North Africa.
E1137807 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: Hamoud | Statement: [Hammoud, hasVariant, Hamoud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamoud
Context triple: [Hammoud, hasVariant, Hamoud]
  • A. Hamza
    Hamza is a masculine given name of Arabic origin, commonly used in the Muslim world and among Arabic-speaking communities.
  • B. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • C. Hamzaa
    Hamzaa is a British R&B and soul singer-songwriter known for her emotive vocals and introspective, heartfelt lyrics.
  • D. Hassan
    Hassan is a hip-hop music producer known for contributing production work to Ghostface Killah’s acclaimed album "Supreme Clientele."
  • E. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • 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: Hamoud
Triple: [Hammoud, hasVariant, Hamoud]
Generated description
Hamoud is a given name and surname of Arabic origin, commonly used across the Middle East and North Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hamoud
Target entity description: Hamoud is a given name and surname of Arabic origin, commonly used across the Middle East and North Africa.
  • A. Hamza
    Hamza is a masculine given name of Arabic origin, commonly used in the Muslim world and among Arabic-speaking communities.
  • B. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • C. Hamzaa
    Hamzaa is a British R&B and soul singer-songwriter known for her emotive vocals and introspective, heartfelt lyrics.
  • D. Hassan
    Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • E. Hassan
    Hassan is a hip-hop music producer known for contributing production work to Ghostface Killah’s acclaimed album "Supreme Clientele."
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059f69a881909929a037a0eef702 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f4abd08190b47c9daff2921919 completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feb8bb774481908272929358817440 completed May 9, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69feb9384b4c81909fe80dec3abc1659 completed May 9, 2026, 4:34 a.m.
Created at: April 10, 2026, 3:06 a.m.