Triple

T18518864
Position Surface form Disambiguated ID Type / Status
Subject An Actor Prepares E452533 entity
Predicate followedBy P78 FINISHED
Object Creating a Role 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: Creating a Role | Statement: [An Actor Prepares, followedBy, Creating a Role]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Creating a Role
Context triple: [An Actor Prepares, followedBy, Creating a Role]
  • A. Creating a Role chosen
    "Creating a Role" is a seminal theatre text by Konstantin Stanislavski that outlines his method for developing a character’s inner life and performance on stage.
  • B. The Role
    "The Role" is a 2013 Russian psychological drama film directed by Konstantin Lopushansky, exploring identity and obsession through the story of an actor who assumes the life of a deceased revolutionary.
  • C. Roles
    Roles is a surname of English origin borne by various individuals and families.
  • D. Building a Character
    "Building a Character" is a foundational acting manual by Konstantin Stanislavski that details his techniques for developing a believable physical and psychological characterization on stage.
  • E. Create
    Create is an American public television multicast network focused on how-to and lifestyle programming, including cooking, travel, home improvement, and crafts.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338be20c8190bc7fe8de050345a2 completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:36 a.m.