Triple

T10193453
Position Surface form Disambiguated ID Type / Status
Subject Ryan Warsofsky E238096 entity
Predicate sibling P363 FINISHED
Object David Warsofsky
David Warsofsky is an American professional ice hockey defenseman who has played in the NHL and various international leagues.
 E908220 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: David Warsofsky | Statement: [Ryan Warsofsky, sibling, David Warsofsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Warsofsky
Context triple: [Ryan Warsofsky, sibling, David Warsofsky]
  • A. Louis Bakanowsky
    Louis Bakanowsky was an American architect best known as a founding partner of the influential design firm Cambridge Seven Associates.
  • B. Leo Salkin
    Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
  • C. Leon Feldhendler
    Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
  • D. Michael Aronov
    Michael Aronov is an American actor known for his work in film, television, and theater, including a role in the historical drama "Operation Finale."
  • E. Allen Boretz
    Allen Boretz was an American playwright and screenwriter best known for his work in mid-20th-century theater and film comedies.
  • 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: David Warsofsky
Triple: [Ryan Warsofsky, sibling, David Warsofsky]
Generated description
David Warsofsky is an American professional ice hockey defenseman who has played in the NHL and various international leagues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Warsofsky
Target entity description: David Warsofsky is an American professional ice hockey defenseman who has played in the NHL and various international leagues.
  • A. Louis Bakanowsky
    Louis Bakanowsky was an American architect best known as a founding partner of the influential design firm Cambridge Seven Associates.
  • B. Leo Salkin
    Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
  • C. Leon Feldhendler
    Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
  • D. Michael Aronov
    Michael Aronov is an American actor known for his work in film, television, and theater, including a role in the historical drama "Operation Finale."
  • E. Allen Boretz
    Allen Boretz was an American playwright and screenwriter best known for his work in mid-20th-century theater and film comedies.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc675008190b8248325f5a208bf completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69e462472ed88190a76b04157c235c80 completed April 19, 2026, 5:04 a.m.
NEDg Description generation batch_69e46c3448348190b2c062d21771066d completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e46dadbc5c8190b41279a05731dc95 completed April 19, 2026, 5:52 a.m.
Created at: March 30, 2026, 9:13 p.m.