Triple

T28207053
Position Surface form Disambiguated ID Type / Status
Subject STXinternational E717055 entity
Predicate roleInFilmLifecycle P55759 FINISHED
Object acquisition of international rights LITERAL 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: acquisition of international rights | Statement: [STXinternational, roleInFilmLifecycle, acquisition of international rights]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInFilmLifecycle
Context triple: [STXinternational, roleInFilmLifecycle, acquisition of international rights]
  • A. roleInFilmEcosystem chosen
    Indicates the specific function or position an entity holds within the broader network of activities, stakeholders, and processes that make up the film ecosystem.
  • B. roleInFilmProduction
    Indicates the specific function or responsibility an entity has within the making of a film.
  • C. relationshipRoleInFilm
    Indicates that one entity has a specific relationship-based role (e.g., spouse, sibling, partner) to another entity within the context of a particular film.
  • D. hasStageNameInFilm
    Indicates that an individual is credited or referred to by a particular stage name in a specific film.
  • E. positionInDirectorsCareer
    Indicates the specific point or rank that a work or event occupies within the chronological sequence of a director’s professional career.
  • F. None of above.

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_69efd6b826908190857e6e7dad74ed93 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69fdf5d05cc481909ec9e1b1f0784279 completed May 8, 2026, 2:40 p.m.
PD Predicate disambiguation batch_69fdf0cdd6948190838864ab3120dfa6 completed May 8, 2026, 2:18 p.m.
Created at: April 27, 2026, 10:36 p.m.