Triple

T14047592
Position Surface form Disambiguated ID Type / Status
Subject Moonlight (film) E337998 entity
Predicate producedBy P490 FINISHED
Object Pastel Productions E337998 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: Pastel Productions | Statement: [Moonlight (film), producedBy, Pastel Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pastel Productions
Context triple: [Moonlight (film), producedBy, Pastel Productions]
  • A. Pastel Productions chosen
    Pastel Productions is a film and television production company known for producing the acclaimed coming-of-age drama "Moonlight."
  • B. Ostar Productions
    Ostar Productions is a television production company best known for producing the crime drama series "Rizzoli & Isles."
  • C. Siesta Productions
    Siesta Productions is a film and television production company known for its work on the fantasy series "Carnival Row."
  • D. Sunflower Productions
    Sunflower Productions is a film production company known for producing the historical drama "The New World."
  • E. Indelible Productions
    Indelible Productions is a film production company best known for its work on the thriller movie "Panic Room."
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c88b5e48190b0f0149102c08992 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc34332448190b044f55f0f85d5e2 completed May 6, 2026, 10:40 p.m.
Created at: April 9, 2026, 10:20 p.m.