Triple

T8451700
Position Surface form Disambiguated ID Type / Status
Subject Laurence Silberman E199812 entity
Predicate spouse P13 FINISHED
Object Patricia Silberman
Patricia Silberman is known as the wife of the late Laurence Silberman, a prominent U.S. federal judge and influential conservative legal figure.
 E751619 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: Patricia Silberman | Statement: [Laurence Silberman, spouse, Patricia Silberman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Patricia Silberman
Context triple: [Laurence Silberman, spouse, Patricia Silberman]
  • A. Patricia Blum
    Patricia Blum is a character in Stephen King's horror novel "It," known as the wife of Stan Uris.
  • B. Patricia Fruen
    Patricia Fruen is an actress known for her role in the film "Way Down East."
  • C. Alicia Z. Rosenfeld
    Alicia Z. Rosenfeld is a book editor known for her work on the inspirational Christian memoir "Miracles from Heaven."
  • D. Annette Lerner
    Annette Lerner is a Washington, D.C.–area philanthropist and matriarch of the Lerner family, known for their real estate empire and former ownership of the Washington Nationals baseball team.
  • E. Janet Margolin
    Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
  • 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: Patricia Silberman
Triple: [Laurence Silberman, spouse, Patricia Silberman]
Generated description
Patricia Silberman is known as the wife of the late Laurence Silberman, a prominent U.S. federal judge and influential conservative legal figure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Patricia Silberman
Target entity description: Patricia Silberman is known as the wife of the late Laurence Silberman, a prominent U.S. federal judge and influential conservative legal figure.
  • A. Patricia Blum
    Patricia Blum is a character in Stephen King's horror novel "It," known as the wife of Stan Uris.
  • B. Patricia Fruen
    Patricia Fruen is an actress known for her role in the film "Way Down East."
  • C. Alicia Z. Rosenfeld
    Alicia Z. Rosenfeld is a book editor known for her work on the inspirational Christian memoir "Miracles from Heaven."
  • D. Annette Lerner
    Annette Lerner is a Washington, D.C.–area philanthropist and matriarch of the Lerner family, known for their real estate empire and former ownership of the Washington Nationals baseball team.
  • E. Janet Margolin
    Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe449decc8190bd62f077427f9634 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef2fa85ac8190adb7ddeb672bc550 completed April 2, 2026, 10:51 p.m.
NEDg Description generation batch_69cef4cbc0788190bf95aa8058a8d895 completed April 2, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69cef830e4e48190bf337a526cc82119 completed April 2, 2026, 11:13 p.m.
Created at: March 30, 2026, 6:09 p.m.