Triple

T6868480
Position Surface form Disambiguated ID Type / Status
Subject Susan Downey E158476 entity
Predicate employer P7 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: [Susan Downey, employer, Silver Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Pictures
Context triple: [Susan Downey, employer, 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. Palace Pictures
    Palace Pictures was a British independent film production and distribution company known for backing influential and unconventional films in the 1980s and early 1990s.
  • C. Superior Pictures
    Superior Pictures was an American film production company active in the mid-20th century, known for producing low-budget genre movies.
  • D. Artcraft Pictures
    Artcraft Pictures was an early 20th-century American film distribution company associated with the silent film era.
  • E. Academy Pictures
    Academy Pictures is a film production company best known for producing the 1973 British horror film "The Legend of Hell House."
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a793a481909340239c065393a4 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74299ae148190a56c7b1ee8829f40 completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.