Triple

T3358455
Position Surface form Disambiguated ID Type / Status
Subject Tamim bin Hamad Al Thani E70659 entity
Predicate givenName P17 FINISHED
Object Tamim
Tamim is a common Arabic male given name, notably borne by Tamim bin Hamad Al Thani, the Emir of Qatar.
 E351055 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: Tamim | Statement: [Tamim bin Hamad Al Thani, givenName, Tamim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tamim
Context triple: [Tamim bin Hamad Al Thani, givenName, Tamim]
  • A. Hasnat Khan
    Hasnat Khan is a British-Pakistani heart surgeon best known for his romantic relationship with Diana, Princess of Wales.
  • B. Hashim
    Hashim is the given name of Prince Hashim bin Hussein, a member of the Jordanian royal family.
  • C. Hafeez
    Hafeez is a male given name of Arabic origin, commonly used in South Asia and the Muslim world, meaning "guardian" or "protector."
  • D. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • E. Daniyal Mirza
    Daniyal Mirza was a Mughal prince of the 16th century, notable as one of Emperor Akbar's sons who played a role in the empire's dynastic politics.
  • 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: Tamim
Triple: [Tamim bin Hamad Al Thani, givenName, Tamim]
Generated description
Tamim is a common Arabic male given name, notably borne by Tamim bin Hamad Al Thani, the Emir of Qatar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tamim
Target entity description: Tamim is a common Arabic male given name, notably borne by Tamim bin Hamad Al Thani, the Emir of Qatar.
  • A. Hasnat Khan
    Hasnat Khan is a British-Pakistani heart surgeon best known for his romantic relationship with Diana, Princess of Wales.
  • B. Hashim
    Hashim is the given name of Prince Hashim bin Hussein, a member of the Jordanian royal family.
  • C. Hafeez
    Hafeez is a male given name of Arabic origin, commonly used in South Asia and the Muslim world, meaning "guardian" or "protector."
  • D. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • E. Daniyal Mirza
    Daniyal Mirza was a Mughal prince of the 16th century, notable as one of Emperor Akbar's sons who played a role in the empire's dynastic politics.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb26523cc819091006fde7beb32e4 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3253e91988190bbfdafdf88ab0df1 completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b326cc82788190b68f1db043f21055 completed March 12, 2026, 8:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3276b55a0819094face2e56001921 completed March 12, 2026, 8:51 p.m.
Created at: March 8, 2026, 3:13 p.m.