Triple

T3128693
Position Surface form Disambiguated ID Type / Status
Subject i,i E65357 entity
Predicate hasPart P35 FINISHED
Object Naeem
Naeem is a person whose name appears as a distinct part or component within the broader entity referred to as "i."
 E329885 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: Naeem | Statement: [i,i, hasPart, Naeem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naeem
Context triple: [i,i, hasPart, Naeem]
  • A. Thadiq
    Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
  • B. Kashif
    Kashif was an American R&B singer, songwriter, and producer known for his influential 1980s work that helped shape the post-disco and urban contemporary sound.
  • C. Ilyas
    Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
  • 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. Mohsin
    Mohsin is a masculine given name commonly used in Muslim-majority cultures, derived from Arabic and generally meaning "benefactor" or "one who does good."
  • 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: Naeem
Triple: [i,i, hasPart, Naeem]
Generated description
Naeem is a person whose name appears as a distinct part or component within the broader entity referred to as "i."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naeem
Target entity description: Naeem is a person whose name appears as a distinct part or component within the broader entity referred to as "i."
  • A. Thadiq
    Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
  • B. Kashif
    Kashif was an American R&B singer, songwriter, and producer known for his influential 1980s work that helped shape the post-disco and urban contemporary sound.
  • C. Ilyas
    Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
  • 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. Mohsin
    Mohsin is a masculine given name commonly used in Muslim-majority cultures, derived from Arabic and generally meaning "benefactor" or "one who does good."
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada548123c8190bcfe780c65941585 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f7c70108190b61177d1581fc33f completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2138e2bdc8190aa0a8a1dcd1e20fc completed March 12, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69b21438b6e881908da0117ebc9bb2b4 completed March 12, 2026, 1:17 a.m.
Created at: March 8, 2026, 3:04 p.m.