Triple

T3257947
Position Surface form Disambiguated ID Type / Status
Subject Julianna Margulies E68341 entity
Predicate familyName P18 FINISHED
Object Margulies
Margulies is a surname most prominently associated with American actress Julianna Margulies, known for her roles in television dramas such as "ER" and "The Good Wife."
 E343243 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: Margulies | Statement: [Julianna Margulies, familyName, Margulies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margulies
Context triple: [Julianna Margulies, familyName, Margulies]
  • A. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • B. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • C. Zaillian
    Zaillian is the surname of Steven Zaillian, the acclaimed American screenwriter, director, and producer known for films such as Schindler’s List and Moneyball.
  • D. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • E. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • 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: Margulies
Triple: [Julianna Margulies, familyName, Margulies]
Generated description
Margulies is a surname most prominently associated with American actress Julianna Margulies, known for her roles in television dramas such as "ER" and "The Good Wife."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margulies
Target entity description: Margulies is a surname most prominently associated with American actress Julianna Margulies, known for her roles in television dramas such as "ER" and "The Good Wife."
  • A. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • B. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • C. Zaillian
    Zaillian is the surname of Steven Zaillian, the acclaimed American screenwriter, director, and producer known for films such as Schindler’s List and Moneyball.
  • D. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • E. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf6a46448190a7fa0ca83fa096f8 completed March 8, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ed3a7908190bfab434a64af5f2f completed March 12, 2026, 10 a.m.
NEDg Description generation batch_69b2903dd0ac819088499f06edfeac56 completed March 12, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6bf36988190b394766e9821047c completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:09 p.m.