Triple

T6872251
Position Surface form Disambiguated ID Type / Status
Subject Prince Hassan bin Talal E158577 entity
Predicate givenName P17 FINISHED
Object Hassan
Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
 E636939 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: Hassan | Statement: [Prince Hassan bin Talal, givenName, Hassan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hassan
Context triple: [Prince Hassan bin Talal, givenName, Hassan]
  • A. 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.
  • B. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • C. 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."
  • D. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • E. Abdul Salaam
    Abdul Salaam is a former American football defensive tackle best known as a member of the New York Jets' famed "New York Sack Exchange" defensive line in the late 1970s and early 1980s.
  • 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: Hassan
Triple: [Prince Hassan bin Talal, givenName, Hassan]
Generated description
Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hassan
Target entity description: Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
  • A. 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.
  • B. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • C. 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."
  • D. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • E. Abdul Salaam
    Abdul Salaam is a former American football defensive tackle best known as a member of the New York Jets' famed "New York Sack Exchange" defensive line in the late 1970s and early 1980s.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8ac04e08190aa8011c0ade9d509 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7752f047481908fb58112d783ba1e completed March 28, 2026, 6:29 a.m.
NEDg Description generation batch_69c7771599888190a08cfe512facbe2e completed March 28, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69c777b57cf08190899793bd70fef745 completed March 28, 2026, 6:39 a.m.
Created at: March 27, 2026, 2:22 p.m.