Triple

T10997313
Position Surface form Disambiguated ID Type / Status
Subject Frank (Don't Worry Darling) E259908 entity
Predicate createdBy P806 FINISHED
Object Katie Silberman E257165 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: Katie Silberman | Statement: [Frank (Don't Worry Darling), createdBy, Katie Silberman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katie Silberman
Context triple: [Frank (Don't Worry Darling), createdBy, Katie Silberman]
  • A. Katie Silberman chosen
    Katie Silberman is an American screenwriter and producer known for her work on contemporary female-driven films such as "Booksmart" and "Don't Worry Darling."
  • B. Katie Morosky
    Katie Morosky is a politically passionate, idealistic Jewish woman whose complex romance with a more easygoing man forms the emotional core of the film "The Way We Were."
  • C. Sarah Kirsch
    Sarah Kirsch was an influential American punk guitarist and songwriter known for her work in several seminal Bay Area punk and hardcore bands.
  • D. Lauren Schuker Blum
    Lauren Schuker Blum is an American journalist and screenwriter known for her work in entertainment reporting and film and television writing.
  • E. Lauren Resnick
    Lauren Resnick is an American educational psychologist known for her influential research on learning, cognition, and the design of effective educational practices.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d20b448190958331705de3a9be completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374762c748190a8c83f3d6fa7b1d3 completed April 18, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:24 p.m.