Triple

T14782887
Position Surface form Disambiguated ID Type / Status
Subject Paul Margulies E347434 entity
Predicate child P120 FINISHED
Object Julianna Margulies E68341 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: Julianna Margulies | Statement: [Paul Margulies, child, Julianna Margulies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julianna Margulies
Context triple: [Paul Margulies, child, Julianna Margulies]
  • A. Julianna Margulies chosen
    Julianna Margulies is an American actress best known for her acclaimed television roles on series such as "ER" and "The Good Wife."
  • B. Katherine Noel Brosnahan
    Katherine Noel Brosnahan, better known as Kate Spade, was an American fashion designer and businesswoman who co-founded the iconic accessories and lifestyle brand Kate Spade New York.
  • C. Claire Danes
    Claire Danes is an American actress acclaimed for her roles in projects such as the television series "Homeland" and the film "Romeo + Juliet."
  • D. Betty Gilpin
    Betty Gilpin is an American actress best known for her Emmy-nominated role in the Netflix series "GLOW" and performances in films such as "The Hunt" and "The Tomorrow War."
  • E. Cynthia Nixon
    Cynthia Nixon is an American actress and activist best known for her role as Miranda Hobbes in the television series "Sex and the City" and its related films.
  • 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_69fe8bc5532881909f3bab83dca8f295 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 1:31 a.m.