Triple

T4559457
Position Surface form Disambiguated ID Type / Status
Subject Molly's Game E120556 entity
Predicate distributedBy P1951 FINISHED
Object STXfilms E74385 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: STXfilms | Statement: [Molly's Game, distributedBy, STXfilms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STXfilms
Context triple: [Molly's Game, distributedBy, STXfilms]
  • A. STXfilms chosen
    STXfilms is an American film production and distribution company known for mid-budget, star-driven movies across genres.
  • B. Silverback Films
    Silverback Films is a British production company renowned for creating high-end nature and wildlife documentaries, including major series for Netflix and the BBC.
  • C. Element Films
    Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
  • D. Dimension Films
    Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
  • E. Titanic Studios
    Titanic Studios is a major film and television production facility in Belfast, Northern Ireland, known for hosting large-scale international productions such as HBO’s Game of Thrones.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc593eaf881908a9043366230b391 completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.