Triple

T5189678
Position Surface form Disambiguated ID Type / Status
Subject Paul George E117119 entity
Predicate nickname P55 FINISHED
Object PG-13
PG-13 is the popular nickname of NBA star Paul George, highlighting both his initials and his smooth, high-scoring style of play.
 E501971 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: PG-13 | Statement: [Paul George, nickname, PG-13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PG-13
Context triple: [Paul George, nickname, PG-13]
  • A. Rated R
    Rated R is Rihanna's dark, emotionally charged fourth studio album that marked a stylistic shift toward edgier pop and R&B following her early mainstream success.
  • B. PG
    PG is the international vehicle registration code used for Podgorica, the capital city of Montenegro.
  • C. PG
    PG is the common abbreviation for Project Gutenberg, a pioneering digital library offering free access to thousands of public-domain ebooks.
  • D. PG
    PG is the commonly used abbreviation for Gdańsk University of Technology, a major technical university in Gdańsk, Poland.
  • E. PG
    PG is the stock ticker symbol for Procter & Gamble, a major American multinational consumer goods company known for brands across household, personal care, and hygiene products.
  • 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: PG-13
Triple: [Paul George, nickname, PG-13]
Generated description
PG-13 is the popular nickname of NBA star Paul George, highlighting both his initials and his smooth, high-scoring style of play.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PG-13
Target entity description: PG-13 is the popular nickname of NBA star Paul George, highlighting both his initials and his smooth, high-scoring style of play.
  • A. Rated R
    Rated R is Rihanna's dark, emotionally charged fourth studio album that marked a stylistic shift toward edgier pop and R&B following her early mainstream success.
  • B. PG
    PG is the international vehicle registration code used for Podgorica, the capital city of Montenegro.
  • C. PG
    PG is the common abbreviation for Project Gutenberg, a pioneering digital library offering free access to thousands of public-domain ebooks.
  • D. PG
    PG is the commonly used abbreviation for Gdańsk University of Technology, a major technical university in Gdańsk, Poland.
  • E. PG
    PG is the stock ticker symbol for Procter & Gamble, a major American multinational consumer goods company known for brands across household, personal care, and hygiene products.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c732b48190af62dfffcbc5e3a6 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee08dfe648190a98b5a61f857d593 completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee66191dc8190847fe13f2cda0000 completed March 21, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69bee6e8bbcc819094f5f04743eb4013 completed March 21, 2026, 6:43 p.m.
Created at: March 20, 2026, 1:46 p.m.