Triple

T924333
Position Surface form Disambiguated ID Type / Status
Subject Jonas E19949 entity
Predicate equivalentName P6530 FINISHED
Object Yunus
Yunus is the Arabic form of the name Jonas, commonly associated with the prophet Jonah in Islamic tradition.
 E109128 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: Yunus | Statement: [Jonas, equivalentName, Yunus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yunus
Context triple: [Jonas, equivalentName, Yunus]
  • A. Abdus
    Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
  • B. Toor Pekai Yousafzai
    Toor Pekai Yousafzai is the mother of Nobel laureate and education activist Malala Yousafzai and a Pakistani women's rights advocate who has spoken out in support of girls' education.
  • C. Nur Herman Majid
    Nur Herman Majid is a Malaysian former hurdler best known for lighting the cauldron at the 1998 Commonwealth Games in Kuala Lumpur.
  • D. Achmed Abdullah
    Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
  • 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: Yunus
Triple: [Jonas, equivalentName, Yunus]
Generated description
Yunus is the Arabic form of the name Jonas, commonly associated with the prophet Jonah in Islamic tradition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yunus
Target entity description: Yunus is the Arabic form of the name Jonas, commonly associated with the prophet Jonah in Islamic tradition.
  • A. Abdus
    Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
  • B. Toor Pekai Yousafzai
    Toor Pekai Yousafzai is the mother of Nobel laureate and education activist Malala Yousafzai and a Pakistani women's rights advocate who has spoken out in support of girls' education.
  • C. Nur Herman Majid
    Nur Herman Majid is a Malaysian former hurdler best known for lighting the cauldron at the 1998 Commonwealth Games in Kuala Lumpur.
  • D. Achmed Abdullah
    Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3296f50819087f809fbe90b139e completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf6652d0819084d6216646bd4fc5 completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7ebfdb6a08190bad4b12711719e80 completed March 4, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69a7ec6c239c8190a86ccf46232c74c4 completed March 4, 2026, 8:25 a.m.
Created at: March 1, 2026, 7:40 p.m.