Triple

T1603267
Position Surface form Disambiguated ID Type / Status
Subject Ashraf Ghani E34442 entity
Predicate givenName P17 FINISHED
Object Ashraf
Ashraf is a masculine given name of Arabic origin commonly used in various Muslim-majority countries.
 E181202 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: Ashraf | Statement: [Ashraf Ghani, givenName, Ashraf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ashraf
Context triple: [Ashraf Ghani, givenName, Ashraf]
  • A. Nabil
    Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
  • B. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • C. Mansour
    Mansour is an Arabic surname commonly borne by individuals across the Middle East and North Africa, often associated with notable figures in politics, business, and the arts.
  • D. Fahd
    Fahd is a male given name of Arabic origin, notably borne by King Fahd of Saudi Arabia.
  • E. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • 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: Ashraf
Triple: [Ashraf Ghani, givenName, Ashraf]
Generated description
Ashraf is a masculine given name of Arabic origin commonly used in various Muslim-majority countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ashraf
Target entity description: Ashraf is a masculine given name of Arabic origin commonly used in various Muslim-majority countries.
  • A. Nabil
    Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
  • B. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • C. Mansour
    Mansour is an Arabic surname commonly borne by individuals across the Middle East and North Africa, often associated with notable figures in politics, business, and the arts.
  • D. Fahd
    Fahd is a male given name of Arabic origin, notably borne by King Fahd of Saudi Arabia.
  • E. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62292d1c819080b597199dc6b8d5 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46ae8ef08190acf018f1db4bfa7c completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad4827c51c8190b07f4e07ba710c9d completed March 8, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad487f5ce08190a72efddc64bd496c completed March 8, 2026, 9:59 a.m.
Created at: March 4, 2026, 7:28 p.m.