Triple

T21590601
Position Surface form Disambiguated ID Type / Status
Subject Imrān E532767 entity
Predicate hasTransliteration P2508 FINISHED
Object Omran
Omran is a transliterated given name of Arabic origin, commonly rendered from the name Imrān and used across various Muslim-majority cultures.
 E1492061 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: Omran | Statement: [Imrān, hasTransliteration, Omran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Omran
Context triple: [Imrān, hasTransliteration, Omran]
  • A. Hadiya
    Hadiya is a Cushitic ethnic group primarily living in southern Ethiopia, known for their distinct language and cultural traditions.
  • B. Hamdan
    Hamdan is a common Arabic male given name, notably borne by Crown Prince Hamdan bin Mohammed Al Maktoum of Dubai.
  • C. Nabeil
    Nabeil is a variant transliteration of the Arabic given name "Nabil," commonly used in Arabic-speaking and Muslim communities.
  • D. Hamza
    Hamza is a masculine given name of Arabic origin, commonly used in the Muslim world and among Arabic-speaking communities.
  • E. Sohrab
    Sohrab is a tragic hero in the Persian epic Shahnameh, famed as the valiant but ill-fated son of the champion Rostam.
  • 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: Omran
Triple: [Imrān, hasTransliteration, Omran]
Generated description
Omran is a transliterated given name of Arabic origin, commonly rendered from the name Imrān and used across various Muslim-majority cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Omran
Target entity description: Omran is a transliterated given name of Arabic origin, commonly rendered from the name Imrān and used across various Muslim-majority cultures.
  • A. Hadiya
    Hadiya is a Cushitic ethnic group primarily living in southern Ethiopia, known for their distinct language and cultural traditions.
  • B. Hamdan
    Hamdan is a common Arabic male given name, notably borne by Crown Prince Hamdan bin Mohammed Al Maktoum of Dubai.
  • C. Nabeil
    Nabeil is a variant transliteration of the Arabic given name "Nabil," commonly used in Arabic-speaking and Muslim communities.
  • D. Hamza
    Hamza is a masculine given name of Arabic origin, commonly used in the Muslim world and among Arabic-speaking communities.
  • E. Sohrab
    Sohrab is a tragic hero in the Persian epic Shahnameh, famed as the valiant but ill-fated son of the champion Rostam.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadd0ec88190929c76137bd1603e completed April 27, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f681f8a08190965cf2c3b12eb134 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f85e21948190a6563d309c349f78 completed May 17, 2026, 5:18 p.m.
NED2 Entity disambiguation (via description) batch_6a09f8d30ff08190b3bc6c45f7b5257b completed May 17, 2026, 5:20 p.m.
Created at: April 16, 2026, 6:32 p.m.