Triple

T3655096
Position Surface form Disambiguated ID Type / Status
Subject Daniyal Mirza E77509 entity
Predicate givenName P17 FINISHED
Object Daniyal
Daniyal is a masculine given name commonly used in various cultures, often considered a variant of the name Daniel.
 E377668 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: Daniyal | Statement: [Daniyal Mirza, givenName, Daniyal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daniyal
Context triple: [Daniyal Mirza, givenName, Daniyal]
  • A. Thadiq
    Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
  • B. Ilyas
    Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
  • C. Talal
    Talal is a masculine given name of Arabic origin commonly used across the Arab world.
  • D. Naeem
    Naeem is a person whose name appears as a distinct part or component within the broader entity referred to as "i."
  • E. Hussain
    Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the world.
  • 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: Daniyal
Triple: [Daniyal Mirza, givenName, Daniyal]
Generated description
Daniyal is a masculine given name commonly used in various cultures, often considered a variant of the name Daniel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daniyal
Target entity description: Daniyal is a masculine given name commonly used in various cultures, often considered a variant of the name Daniel.
  • A. Thadiq
    Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
  • B. Ilyas
    Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
  • C. Talal
    Talal is a masculine given name of Arabic origin commonly used across the Arab world.
  • D. Naeem
    Naeem is a person whose name appears as a distinct part or component within the broader entity referred to as "i."
  • E. Hussain
    Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the world.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3baf57c8190b72b5d1b910d9db6 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4883dc5408190a6e7e110acf03a15 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b48b3c360c8190a9851b8f5f639bef completed March 13, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69b4af2032188190b29939d5dc19ccd1 completed March 14, 2026, 12:43 a.m.
Created at: March 8, 2026, 3:24 p.m.