Triple

T2416026
Position Surface form Disambiguated ID Type / Status
Subject Allen Iverson E52303 entity
Predicate nickname P55 FINISHED
Object AI
Allen Iverson is a Hall of Fame former NBA point guard and shooting guard renowned for his scoring ability, quickness, and cultural impact on basketball.
E264533 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: AI | Statement: [Allen Iverson, nickname, AI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AI
Context triple: [Allen Iverson, nickname, AI]
  • A. AI
    Amnesty International is a global non-governmental organization focused on protecting human rights and campaigning against abuses such as torture, unjust imprisonment, and the death penalty.
  • B. AI
    AI is Adobe Illustrator’s native vector graphics file format used to store and exchange editable artwork.
  • C. Ai
    Ai is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into broader Chinese society.
  • D. Intelligent Systems
    Intelligent Systems is a Japanese video game development company best known for creating the Fire Emblem and Paper Mario series.
  • E. xAI
    xAI is an artificial intelligence company focused on developing advanced AI systems, founded and led by entrepreneur Elon Musk.
  • 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: AI
Triple: [Allen Iverson, nickname, AI]
Generated description
Allen Iverson is a Hall of Fame former NBA point guard and shooting guard renowned for his scoring ability, quickness, and cultural impact on basketball.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AI
Target entity description: Allen Iverson is a Hall of Fame former NBA point guard and shooting guard renowned for his scoring ability, quickness, and cultural impact on basketball.
  • A. AI
    Amnesty International is a global non-governmental organization focused on protecting human rights and campaigning against abuses such as torture, unjust imprisonment, and the death penalty.
  • B. AI
    AI is Adobe Illustrator’s native vector graphics file format used to store and exchange editable artwork.
  • C. Ai
    Ai is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into broader Chinese society.
  • D. Intelligent Systems
    Intelligent Systems is a Japanese video game development company best known for creating the Fire Emblem and Paper Mario series.
  • E. xAI
    xAI is an artificial intelligence company focused on developing advanced AI systems, founded and led by entrepreneur Elon Musk.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc94d048481908409d60129aef747 completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf4a784c819082c47e3936242478 completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec28e0e38819085027240e2b3eb1b completed March 9, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69aec34a9a0481908c1033cb7d4b1516 completed March 9, 2026, 12:55 p.m.
Created at: March 6, 2026, 9:42 p.m.