Triple

T14782892
Position Surface form Disambiguated ID Type / Status
Subject Paul Margulies E347434 entity
Predicate hasFamilyName P18 FINISHED
Object Margulies E343243 NE FINISHED

How this triple was built (2 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: [Paul Margulies, hasFamilyName, Margulies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margulies
Context triple: [Paul Margulies, hasFamilyName, Margulies]
  • A. Margulies chosen
    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."
  • B. Margolies
    Margolies is a surname that functions as a variant spelling of Margulies, borne by various individuals across different fields.
  • C. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • D. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9de3f48190b7706925e2947cf5 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0d02e28081909a11d6e6fdb8d28c completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:31 a.m.