Triple

T18389249
Position Surface form Disambiguated ID Type / Status
Subject Rehman E449677 entity
Predicate hasAlternativeForm P455 FINISHED
Object Rahman
Rahman is a common given name and surname of Arabic origin, widely used across Muslim-majority regions and their diasporas.
E1321073 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: Rahman | Statement: [Rehman, hasAlternativeForm, Rahman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rahman
Context triple: [Rehman, hasAlternativeForm, Rahman]
  • A. Rahman
    Rahman is a Malaysian former badminton player best known as one of the Sidek brothers who were prominent in international doubles competition.
  • B. Rahim
    Rahim is a supporting character in the teen drama series "Love, Victor," contributing to the show's exploration of identity, relationships, and LGBTQ+ experiences.
  • C. Subhaan Rahman
    Subhaan Rahman is a music producer known for his work on Post Malone’s album "Twelve Carat Toothache."
  • D. Nasir
    Nasir is a creative work associated with Wyoming Sessions, likely a music release or recording project.
  • E. Nasir
    Nasir is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • 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: Rahman
Triple: [Rehman, hasAlternativeForm, Rahman]
Generated description
Rahman is a common given name and surname of Arabic origin, widely used across Muslim-majority regions and their diasporas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rahman
Target entity description: Rahman is a common given name and surname of Arabic origin, widely used across Muslim-majority regions and their diasporas.
  • A. Rahman
    Rahman is a Malaysian former badminton player best known as one of the Sidek brothers who were prominent in international doubles competition.
  • B. Rahim
    Rahim is a supporting character in the teen drama series "Love, Victor," contributing to the show's exploration of identity, relationships, and LGBTQ+ experiences.
  • C. Subhaan Rahman
    Subhaan Rahman is a music producer known for his work on Post Malone’s album "Twelve Carat Toothache."
  • D. Nasir
    Nasir is a creative work associated with Wyoming Sessions, likely a music release or recording project.
  • E. Nasir
    Nasir is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e51840884c81908e84e9206b4739ee completed April 19, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d786ac888190bc5984ee83ea6e0f completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d8512d4c8190b113f7ed1f8a044c completed May 13, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_6a03d8d863cc819098b46d5d26db05cd completed May 13, 2026, 1:50 a.m.
Created at: April 10, 2026, 10:46 a.m.