Triple

T20996071
Position Surface form Disambiguated ID Type / Status
Subject Robert Prosky E517152 entity
Predicate familyName P18 FINISHED
Object Prosky
Prosky is the surname of American character actor Robert Prosky, known for his extensive work in film, television, and theater.
 E1461317 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: Prosky | Statement: [Robert Prosky, familyName, Prosky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prosky
Context triple: [Robert Prosky, familyName, Prosky]
  • A. Phillippi
    Phillippi is a surname most notably associated with early 20th-century American baseball pitcher Deacon Phillippe.
  • B. Slippery Rock
    Slippery Rock is a small borough in western Pennsylvania best known as the home of Slippery Rock University.
  • C. Peebles
    Peebles is a historic market town in the Scottish Borders, known for its scenic riverside setting, traditional architecture, and outdoor recreation.
  • D. Corry
    Corry is a given name and surname used in various English-speaking regions, often as a variant of names like Corrie or Corey.
  • E. Beaver Falls
    Beaver Falls is a small industrial city in western Pennsylvania known historically for its manufacturing base and location along the Beaver River.
  • 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: Prosky
Triple: [Robert Prosky, familyName, Prosky]
Generated description
Prosky is the surname of American character actor Robert Prosky, known for his extensive work in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prosky
Target entity description: Prosky is the surname of American character actor Robert Prosky, known for his extensive work in film, television, and theater.
  • A. Phillippi
    Phillippi is a surname most notably associated with early 20th-century American baseball pitcher Deacon Phillippe.
  • B. Slippery Rock
    Slippery Rock is a small borough in western Pennsylvania best known as the home of Slippery Rock University.
  • C. Peebles
    Peebles is a historic market town in the Scottish Borders, known for its scenic riverside setting, traditional architecture, and outdoor recreation.
  • D. Corry
    Corry is a given name and surname used in various English-speaking regions, often as a variant of names like Corrie or Corey.
  • E. Beaver Falls
    Beaver Falls is a small industrial city in western Pennsylvania known historically for its manufacturing base and location along the Beaver River.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1fd5d48190a56981cee95ebd69 completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fcfdcb881909d5d89d9b7201fbe completed May 17, 2026, 3:02 a.m.
NEDg Description generation batch_6a0931a27e788190b593f4c6d5c1d4f4 completed May 17, 2026, 3:10 a.m.
NED2 Entity disambiguation (via description) batch_6a093544a4a48190b857d9eef0d48cbf completed May 17, 2026, 3:25 a.m.
Created at: April 16, 2026, 1:50 p.m.