Triple

T3043482
Position Surface form Disambiguated ID Type / Status
Subject Den of Thieves E83185 entity
Predicate productionCompany P490 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: [Den of Thieves, productionCompany, STXfilms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STXfilms
Context triple: [Den of Thieves, productionCompany, 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b5ec5988190b8b6c95c743c6d1e completed March 8, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ded35e008190be7dd72aa7537a3b completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3:01 p.m.