Triple

T14165240
Position Surface form Disambiguated ID Type / Status
Subject Tamim E351055 entity
Predicate hasVariantSpelling P457 FINISHED
Object Tameem
Tameem is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures.
 E1083053 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: Tameem | Statement: [Tamim, hasVariantSpelling, Tameem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tameem
Context triple: [Tamim, hasVariantSpelling, Tameem]
  • A. Hotat Bani Tamim
    Hotat Bani Tamim is a town in central Saudi Arabia known as a local administrative and population center within the Riyadh region.
  • B. Tammam Salam
    Tammam Salam is a Lebanese politician who served as Prime Minister of Lebanon and has long been a prominent figure in the country’s political life.
  • C. Khalaf
    Khalaf is an Arabic surname commonly borne by individuals and families across the Middle East and the broader Arab diaspora.
  • D. Talal
    Talal is a masculine given name of Arabic origin commonly used across the Arab world.
  • E. Aymen
    Aymen is a masculine given name of Arabic origin, commonly considered a variant spelling of Ayman and often associated with meanings like "blessed" or "fortunate."
  • 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: Tameem
Triple: [Tamim, hasVariantSpelling, Tameem]
Generated description
Tameem is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tameem
Target entity description: Tameem is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures.
  • A. Hotat Bani Tamim
    Hotat Bani Tamim is a town in central Saudi Arabia known as a local administrative and population center within the Riyadh region.
  • B. Tammam Salam
    Tammam Salam is a Lebanese politician who served as Prime Minister of Lebanon and has long been a prominent figure in the country’s political life.
  • C. Khalaf
    Khalaf is an Arabic surname commonly borne by individuals and families across the Middle East and the broader Arab diaspora.
  • D. Talal
    Talal is a masculine given name of Arabic origin commonly used across the Arab world.
  • E. Aymen
    Aymen is a masculine given name of Arabic origin, commonly considered a variant spelling of Ayman and often associated with meanings like "blessed" or "fortunate."
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b207cc8190b85b1ff0910b54da completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f57ad88190aeb8ee0f834bfa20 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fcfdcbd53c81909a347e26b30f9c0b completed May 7, 2026, 9:02 p.m.
NED2 Entity disambiguation (via description) batch_69fcfe9099508190bafd65d0d00129f0 completed May 7, 2026, 9:05 p.m.
Created at: April 10, 2026, 12:59 a.m.