Triple

T18256507
Position Surface form Disambiguated ID Type / Status
Subject SNOBOL E437235 entity
Predicate developer P73 FINISHED
Object Ivan P. Polonsky
Ivan P. Polonsky is a computer scientist known for his role in developing the SNOBOL string-oriented programming language.
E1316214 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: Ivan P. Polonsky | Statement: [SNOBOL, developer, Ivan P. Polonsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivan P. Polonsky
Context triple: [SNOBOL, developer, Ivan P. Polonsky]
  • A. Boris Poplavsky
    Boris Poplavsky was a Russian émigré poet and writer associated with the Parisian Russian diaspora, known for his introspective, symbolist-influenced verse and tragic early death.
  • B. Lev Shlosberg
    Lev Shlosberg is a Russian liberal politician, journalist, and human rights advocate known for his opposition to the Kremlin and his work within the Yabloko party.
  • C. Alexander Poliakoff
    Alexander Poliakoff was a Russian-born British electronics engineer and inventor, noted for his work in early television and radar technology.
  • D. Aharon Dolgopolsky
    Aharon Dolgopolsky was a Russian-Israeli linguist best known as one of the founders and leading proponents of the controversial Nostratic macrofamily hypothesis in historical linguistics.
  • E. Michael E. Polakow
    Michael E. Polakow is an editor and scholar known for his work on the publication "The Cutting Edge."
  • 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: Ivan P. Polonsky
Triple: [SNOBOL, developer, Ivan P. Polonsky]
Generated description
Ivan P. Polonsky is a computer scientist known for his role in developing the SNOBOL string-oriented programming language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ivan P. Polonsky
Target entity description: Ivan P. Polonsky is a computer scientist known for his role in developing the SNOBOL string-oriented programming language.
  • A. Boris Poplavsky
    Boris Poplavsky was a Russian émigré poet and writer associated with the Parisian Russian diaspora, known for his introspective, symbolist-influenced verse and tragic early death.
  • B. Lev Shlosberg
    Lev Shlosberg is a Russian liberal politician, journalist, and human rights advocate known for his opposition to the Kremlin and his work within the Yabloko party.
  • C. Alexander Poliakoff
    Alexander Poliakoff was a Russian-born British electronics engineer and inventor, noted for his work in early television and radar technology.
  • D. Aharon Dolgopolsky
    Aharon Dolgopolsky was a Russian-Israeli linguist best known as one of the founders and leading proponents of the controversial Nostratic macrofamily hypothesis in historical linguistics.
  • E. Michael E. Polakow
    Michael E. Polakow is an editor and scholar known for his work on the publication "The Cutting Edge."
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd85ee548190a102611fcf709ad4 completed April 19, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb4a9e6c8190afca6349bbccfc2d completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bbda80748190b8e56fb77140ecb9 completed May 12, 2026, 11:46 p.m.
NED2 Entity disambiguation (via description) batch_6a03bc589a548190b6226a104adea97e completed May 12, 2026, 11:48 p.m.
Created at: April 10, 2026, 10:34 a.m.