Triple

T15063559
Position Surface form Disambiguated ID Type / Status
Subject Hard Target E379697 entity
Predicate productionCompany P490 FINISHED
Object Renaissance Pictures E673187 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: Renaissance Pictures | Statement: [Hard Target, productionCompany, Renaissance Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renaissance Pictures
Context triple: [Hard Target, productionCompany, Renaissance Pictures]
  • A. Renaissance Pictures chosen
    Renaissance Pictures is a film and television production company best known for genre projects like the Evil Dead series and other cult horror and fantasy works.
  • B. Renaissance Films
    Renaissance Films was a British film production and distribution company known for backing acclaimed literary and historical adaptations, particularly in collaboration with director Kenneth Branagh.
  • C. Renown Pictures
    Renown Pictures is a British film production and distribution company known for its work on mid-20th-century cinema.
  • 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. Empire Pictures
    Empire Pictures was an independent American film production and distribution company best known for low-budget horror, fantasy, and science fiction movies in the 1980s.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c8b3ac8190b8fc921b6e6eeed5 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.