Triple

T20389673
Position Surface form Disambiguated ID Type / Status
Subject One Night with the King E498052 entity
Predicate productionCompany P490 FINISHED
Object Gener8Xion Entertainment 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: Gener8Xion Entertainment | Statement: [One Night with the King, productionCompany, Gener8Xion Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gener8Xion Entertainment
Context triple: [One Night with the King, productionCompany, Gener8Xion Entertainment]
  • A. Gener8Xion Entertainment chosen
    Gener8Xion Entertainment is a Christian film production company known for producing faith-based movies and media projects.
  • B. Exient Entertainment
    Exient Entertainment is a video game development studio known for working on high-profile music and rhythm titles, including entries in the DJ Hero series.
  • C. Geno Studio
    Geno Studio is a Japanese animation studio known for producing anime series and contributing to high-profile anthology projects.
  • D. Genera
    Genera is an advanced object-oriented Lisp-based operating environment created by Symbolics for its line of Lisp machines.
  • E. Gerar
    Gerar is an ancient Philistine city mentioned in the Hebrew Bible, associated with the patriarchs Abraham and Isaac in the region of the Negev.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790e65a081909832855758fffd14 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.