Triple

T9760814
Position Surface form Disambiguated ID Type / Status
Subject Rahman Sidek E236662 entity
Predicate givenName P17 FINISHED
Object Rahman
Rahman is a Malaysian former badminton player best known as one of the Sidek brothers who were prominent in international doubles competition.
 E821129 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: [Rahman Sidek, givenName, Rahman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rahman
Context triple: [Rahman Sidek, givenName, Rahman]
  • A. Shamsuddin
    Shamsuddin is an honorific title of Islamic origin commonly borne by rulers and notable figures, particularly in medieval Muslim dynasties such as the Habshi dynasty.
  • B. Rashid
    Rashid is a common male given name of Arabic origin meaning "rightly guided" or "wise."
  • C. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • D. Ahmad
    Ahmad is the narrator of the film "Soul Food," providing the story’s perspective and emotional throughline.
  • E. Hamid
    Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • 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: [Rahman Sidek, givenName, Rahman]
Generated description
Rahman is a Malaysian former badminton player best known as one of the Sidek brothers who were prominent in international doubles competition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rahman
Target entity description: Rahman is a Malaysian former badminton player best known as one of the Sidek brothers who were prominent in international doubles competition.
  • A. Shamsuddin
    Shamsuddin is an honorific title of Islamic origin commonly borne by rulers and notable figures, particularly in medieval Muslim dynasties such as the Habshi dynasty.
  • B. Rashid
    Rashid is a common male given name of Arabic origin meaning "rightly guided" or "wise."
  • C. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • D. Ahmad
    Ahmad is the narrator of the film "Soul Food," providing the story’s perspective and emotional throughline.
  • E. Hamid
    Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda04ad9008190badfcebe2072ab83 completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41022908190a5f55291a2323691 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4c37e248190a1b10cf6d0056c02 completed April 5, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69d1c56957f8819080eca0a71c24f86a completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:25 p.m.