Triple

T3357854
Position Surface form Disambiguated ID Type / Status
Subject Rachel Brosnahan E70647 entity
Predicate name P16 FINISHED
Object Rachel Brosnahan E70647 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: Rachel Brosnahan | Statement: [Rachel Brosnahan, name, Rachel Brosnahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Brosnahan
Context triple: [Rachel Brosnahan, name, Rachel Brosnahan]
  • A. Rachel Brosnahan chosen
    Rachel Brosnahan is an American actress best known for her acclaimed, award-winning performance as the title character in the television series "The Marvelous Mrs. Maisel."
  • B. Elisabeth Moss
    Elisabeth Moss is an acclaimed American actress best known for her powerful lead performances in television dramas such as "Mad Men" and "The Handmaid's Tale."
  • C. Melissa George
    Melissa George is an Australian actress known for her roles in both film and television, including prominent performances in horror and thriller genres.
  • D. Cailee Spaeny
    Cailee Spaeny is an American actress known for her breakout role in the science fiction film "Pacific Rim: Uprising" and subsequent performances in both film and television.
  • E. Merritt Wever
    Merritt Wever is an American actress known for her acclaimed roles in television series such as "Nurse Jackie," "Godless," and "Unbelievable," for which she has received multiple Emmy Awards.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb244435c81908e35d2aa36ec4f46 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3253e91988190bbfdafdf88ab0df1 completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.