Triple

T12782806
Position Surface form Disambiguated ID Type / Status
Subject Lost in America E305548 entity
Predicate starring P1507 FINISHED
Object Julie Hagerty E449197 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: Julie Hagerty | Statement: [Lost in America, starring, Julie Hagerty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Hagerty
Context triple: [Lost in America, starring, Julie Hagerty]
  • A. Julie Hagerty chosen
    Julie Hagerty is an American actress and former model best known for her comedic roles in films such as "Airplane!" and "What About Bob?".
  • B. Julie Ferguson
    Julie Ferguson is the wife of the late American actor and comedian Charles Grodin.
  • C. Julie Richardson
    Julie Richardson is a film producer best known for her work on the acclaimed crime thriller "Collateral."
  • D. Lisa Hartman
    Lisa Hartman is an American actress and singer best known for her role on the television series "Knots Landing" and for her country music collaborations with her husband, Clint Black.
  • E. Julie Eldridge
    Julie Eldridge is a character from the horror anthology film "Trilogy of Terror."
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5b52048190b279b7ad066efe9f completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63f006c8190997c0f3cdc6efd6c completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 5:29 p.m.