Triple

T4356087
Position Surface form Disambiguated ID Type / Status
Subject Die Hard E98150 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: [Die Hard, productionCompany, Silver Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Pictures
Context triple: [Die Hard, 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. Artcraft Pictures
    Artcraft Pictures was an early 20th-century American film distribution company associated with the silent film era.
  • C. 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).
  • D. The Montecito Picture Company
    The Montecito Picture Company is an American film production company known for producing popular comedy films and collaborations with major Hollywood studios.
  • E. 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.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c5773481908446d84897e7a533 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbb662008190854da50df1147a7c completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:16 p.m.