Triple

T815734
Position Surface form Disambiguated ID Type / Status
Subject Julia E17648 entity
Predicate influencedBy P9 FINISHED
Object R
R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
 E98913 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: R | Statement: [Julia, influencedBy, R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R
Context triple: [Julia, influencedBy, R]
  • A. R
    R is a New York City Subway service that runs along the Broadway Line in Manhattan and Queens, providing local transit through key commercial and residential areas.
  • B. RA
    RA is a prestigious post-nominal title indicating membership as a Royal Academician of the Royal Academy of Arts in London.
  • C. RA
    RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
  • D. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • E. Ra
    Ra is the ancient Egyptian sun god, revered as a supreme creator deity and central figure in Pharaonic religion and mythology.
  • 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: R
Triple: [Julia, influencedBy, R]
Generated description
R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: R
Target entity description: R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
  • A. R
    R is a New York City Subway service that runs along the Broadway Line in Manhattan and Queens, providing local transit through key commercial and residential areas.
  • B. RA
    RA is a prestigious post-nominal title indicating membership as a Royal Academician of the Royal Academy of Arts in London.
  • C. RA
    RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
  • D. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • E. Ra
    Ra is the ancient Egyptian sun god, revered as a supreme creator deity and central figure in Pharaonic religion and mythology.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab5157b08190b6c8f2fd455f261e completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7928d2ee8819091dbef1dd5272f6f completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a793417d8c8190816a6185c79fdb95 completed March 4, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a79407b61c8190b615b82ac9139fed completed March 4, 2026, 2:08 a.m.
Created at: March 1, 2026, 7:38 p.m.