Triple

T15533780
Position Surface form Disambiguated ID Type / Status
Subject Toby Emmerich E370289 entity
Predicate employer P7 FINISHED
Object New Line Cinema E24130 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: New Line Cinema | Statement: [Toby Emmerich, employer, New Line Cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Line Cinema
Context triple: [Toby Emmerich, employer, New Line Cinema]
  • A. New Line Cinema chosen
    New Line Cinema is a major American film production and distribution company known for franchises like The Lord of the Rings and A Nightmare on Elm Street.
  • B. Hollywood Pictures
    Hollywood Pictures was a film production label of The Walt Disney Company that focused on releasing more mature and genre-oriented movies during the 1990s.
  • C. Columbia Pictures
    Columbia Pictures is a historic American film studio that rose to prominence during Hollywood’s Golden Age and became one of the industry’s leading producers and distributors of motion pictures.
  • D. Lionsgate
    Lionsgate is a major North American entertainment company and film studio known for producing and distributing a wide range of popular movies and television series.
  • E. Paramount Pictures
    Paramount Pictures is a major American film studio and distributor known for producing and releasing numerous influential Hollywood movies across multiple genres.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414877d88190804ee76566004e13 completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56bdbca08190b5eb541c5eb4bb09 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:06 a.m.