Triple

T20186345
Position Surface form Disambiguated ID Type / Status
Subject Ghostbusters: Frozen Empire E492869 entity
Predicate editedBy P1954 FINISHED
Object Nathan Orloff NE NERFINISHED

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: Nathan Orloff | Statement: [Ghostbusters: Frozen Empire, editedBy, Nathan Orloff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Orloff
Context triple: [Ghostbusters: Frozen Empire, editedBy, Nathan Orloff]
  • A. Nathan Orloff chosen
    Nathan Orloff is a film editor known for his work on high-profile action movies, including the John Wick franchise.
  • B. Nathan Halpern
    Nathan Halpern is an American film composer known for his atmospheric, emotionally driven scores for independent and arthouse films.
  • C. Nathan Cohen
    Nathan Cohen is the paternal grandfather of Lorca Cohen, the daughter of renowned Canadian singer-songwriter Leonard Cohen.
  • D. Nathan Waks
    Nathan Waks is an Australian cellist, composer, and music producer known for his work on film scores and classical music projects.
  • E. Nathan Grossman
    Nathan Grossman is a Swedish documentary filmmaker best known for directing the climate activist portrait film "I Am Greta."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad143c48190b9d52c331e8101d6 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:36 p.m.