Triple

T3759451
Position Surface form Disambiguated ID Type / Status
Subject ER E82125 entity
Predicate starredActor P5563 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: [ER, starredActor, Julianna Margulies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julianna Margulies
Context triple: [ER, starredActor, 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. 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."
  • C. 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.
  • D. Peri Gilpin
    Peri Gilpin is an American actress best known for playing radio producer Roz Doyle on the long-running sitcom "Frasier."
  • E. Ginnifer Goodwin
    Ginnifer Goodwin is an American actress best known for her roles in the television series "Big Love" and "Once Upon a Time," as well as films like "He's Just Not That Into You" and "Zootopia."
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc20b20819095fedf803aadc53a completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5133ba48190a18ea170e3b9e1cd completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.