Triple

T20453109
Position Surface form Disambiguated ID Type / Status
Subject Fear Street Part One: 1994 E501704 entity
Predicate stars P1956 FINISHED
Object Julia Rehwald NE NERFINISHED

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: Julia Rehwald | Statement: [Fear Street Part One: 1994, stars, Julia Rehwald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia Rehwald
Context triple: [Fear Street Part One: 1994, stars, Julia Rehwald]
  • A. Julia Rehwald chosen
    Julia Rehwald is an American actress best known for her role in Netflix’s horror film trilogy "Fear Street," particularly in "Fear Street Part Three: 1666."
  • B. Julia Winter
    Julia Winter is a Swedish-born British actress best known for playing the spoiled heiress Veruca Salt in the 2005 film "Charlie and the Chocolate Factory."
  • C. Julia Sebestyen
    Júlia Sebestyén is a Hungarian former competitive figure skater best known for winning the 2004 European Championship and competing in multiple Winter Olympics.
  • D. Julia Sauer
    Julia Sauer was an American librarian and author best known for her atmospheric children's fantasy and historical novels, including the Newbery Honor book "Fog Magic."
  • E. Julia Czerkawski
    Julia Czerkawski is the daughter of Polish-Swedish actress and model Izabella Scorupco.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d039af08190827bf765b50515a8 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.