Triple

T1747755
Position Surface form Disambiguated ID Type / Status
Subject The Matrix E38373 entity
Predicate productionCompany P490 FINISHED
Object Silver Pictures E138161 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: Silver Pictures | Statement: [The Matrix, productionCompany, Silver Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Pictures
Context triple: [The Matrix, productionCompany, Silver Pictures]
  • A. Silver Pictures chosen
    Silver Pictures is an American film production company founded by producer Joel Silver, known for action and genre films such as the Lethal Weapon and Die Hard series.
  • B. Goldwyn Pictures
    Goldwyn Pictures was an early 20th-century American film production company that became one of the key predecessors to Metro-Goldwyn-Mayer (MGM).
  • C. Argosy Pictures
    Argosy Pictures was an American film production company co-founded by filmmaker Merian C. Cooper, known for producing several notable mid-20th-century adventure and war films.
  • D. Reynolds Pictures
    Reynolds Pictures is the film production company best known for backing Ed Wood’s cult science-fiction movie "Plan 9 from Outer Space."
  • E. First National Pictures
    First National Pictures was a major American motion picture production and distribution company active during the silent and early sound film eras.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ecda0c819091f81942a5bde31d completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e058948190939e936af8f0e221 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.