Triple

T2291066
Position Surface form Disambiguated ID Type / Status
Subject Sherif Ismail E51502 entity
Predicate givenName P17 FINISHED
Object Sherif
Sherif is a masculine given name of Arabic origin commonly used in Egypt and other Arabic-speaking countries.
 E254174 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: Sherif | Statement: [Sherif Ismail, givenName, Sherif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sherif
Context triple: [Sherif Ismail, givenName, Sherif]
  • A. Sherif Ali
    Sherif Ali is a charismatic Bedouin leader and key supporting character in the epic film "Lawrence of Arabia," portrayed by actor Omar Sharif.
  • B. Seriff
    Seriff is the surname of Marc Seriff, an American computer scientist and co-founder of America Online (AOL).
  • C. Lawrence Sheriff
    Lawrence Sheriff was a 16th-century English grocer and philanthropist best known for endowing the foundation that led to the creation of Rugby School.
  • D. Sheriff George Bannerman
    Sheriff George Bannerman is a fictional lawman from Stephen King’s novel "The Dead Zone," known for working with psychic Johnny Smith to investigate a series of murders.
  • E. Alvin Dewey
    Alvin Dewey was a real-life Kansas Bureau of Investigation agent best known for leading the investigation into the Clutter family murders, as depicted in Truman Capote’s nonfiction novel "In Cold Blood."
  • 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: Sherif
Triple: [Sherif Ismail, givenName, Sherif]
Generated description
Sherif is a masculine given name of Arabic origin commonly used in Egypt and other Arabic-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sherif
Target entity description: Sherif is a masculine given name of Arabic origin commonly used in Egypt and other Arabic-speaking countries.
  • A. Sherif Ali
    Sherif Ali is a charismatic Bedouin leader and key supporting character in the epic film "Lawrence of Arabia," portrayed by actor Omar Sharif.
  • B. Seriff
    Seriff is the surname of Marc Seriff, an American computer scientist and co-founder of America Online (AOL).
  • C. Lawrence Sheriff
    Lawrence Sheriff was a 16th-century English grocer and philanthropist best known for endowing the foundation that led to the creation of Rugby School.
  • D. Sheriff George Bannerman
    Sheriff George Bannerman is a fictional lawman from Stephen King’s novel "The Dead Zone," known for working with psychic Johnny Smith to investigate a series of murders.
  • E. Alvin Dewey
    Alvin Dewey was a real-life Kansas Bureau of Investigation agent best known for leading the investigation into the Clutter family murders, as depicted in Truman Capote’s nonfiction novel "In Cold Blood."
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc27536588190a74731b5537c90ee completed March 7, 2026, 6:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f210bb881909086b86b2c3017a7 completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae8018c2e88190aaacaad9adc442cf completed March 9, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69ae806fd8008190bfd6c6bcd1d0ddbd completed March 9, 2026, 8:10 a.m.
Created at: March 4, 2026, 7:48 p.m.