Triple

T15122862
Position Surface form Disambiguated ID Type / Status
Subject Hammoud E361210 entity
Predicate hasTransliteration P2508 FINISHED
Object Ḥammūd
Ḥammūd is an Arabic male given name, often interpreted to mean "one who praises" or "praiseworthy," related to the same root as the name Muhammad.
 E345173 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: Ḥammūd | Statement: [Hammoud, hasTransliteration, Ḥammūd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ḥammūd
Context triple: [Hammoud, hasTransliteration, Ḥammūd]
  • A. Buraimi
    Buraimi is an oasis town in northeastern Oman, historically significant as a strategic frontier settlement near the UAE border.
  • B. Qasim
    Qasim is a central character in Naguib Mahfouz’s novel "Children of Gebelawi," representing a modern, socially conscious figure modeled on the Prophet Muhammad within the book’s allegorical retelling of religious history.
  • C. Belqasim
    Belqasim is a personal given name of Arabic origin, used primarily in North African and Middle Eastern cultures.
  • D. Hammad
    Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
  • E. Sa'id
    Sa'id is a town in southern Yemen that historically served as the political and administrative center of the Upper Aulaqi Sultanate.
  • 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: Ḥammūd
Triple: [Hammoud, hasTransliteration, Ḥammūd]
Generated description
Ḥammūd is an Arabic male given name, often interpreted to mean "one who praises" or "praiseworthy," related to the same root as the name Muhammad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ḥammūd
Target entity description: Ḥammūd is an Arabic male given name, often interpreted to mean "one who praises" or "praiseworthy," related to the same root as the name Muhammad.
  • A. Buraimi
    Buraimi is an oasis town in northeastern Oman, historically significant as a strategic frontier settlement near the UAE border.
  • B. Qasim
    Qasim is a central character in Naguib Mahfouz’s novel "Children of Gebelawi," representing a modern, socially conscious figure modeled on the Prophet Muhammad within the book’s allegorical retelling of religious history.
  • C. Belqasim
    Belqasim is a personal given name of Arabic origin, used primarily in North African and Middle Eastern cultures.
  • D. Hammad chosen
    Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
  • E. Sa'id
    Sa'id is a town in southern Yemen that historically served as the political and administrative center of the Upper Aulaqi Sultanate.
  • F. None of above.

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.