Triple

T4626491
Position Surface form Disambiguated ID Type / Status
Subject In the Mix E101109 entity
Predicate distributedBy P1951 FINISHED
Object Lions Gate Films E75454 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: Lions Gate Films | Statement: [In the Mix, distributedBy, Lions Gate Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lions Gate Films
Context triple: [In the Mix, distributedBy, Lions Gate Films]
  • A. Lionsgate chosen
    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.
  • 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. New Line Cinema
    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.
  • D. Lions' Gate
    Lions' Gate is one of the historic entrances to Jerusalem’s Old City, leading directly toward the Temple Mount/Haram al-Sharif area.
  • E. Gambit Pictures
    Gambit Pictures is a film production company known for working on the science-fiction romantic thriller "The Adjustment Bureau."
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a0a7b588190bc6552ee5babb198 completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4390976c81908ab31c4e25f96064 completed March 21, 2026, 7:06 a.m.
Created at: March 20, 2026, 1:13 p.m.