Triple

T38344930
Position Surface form Disambiguated ID Type / Status
Subject Battle Royale E1041511 entity
Predicate fictionalProgram P57670 FINISHED
Object BR Act LITERAL 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: BR Act | Statement: [Battle Royale, fictionalProgram, BR Act]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalProgram
Context triple: [Battle Royale, fictionalProgram, BR Act]
  • A. featuresFictionalProgram chosen
    Indicates that a work includes or presents a fictional program (such as a TV show, software, or in-universe broadcast) as part of its content.
  • B. fictionalBroadcastType
    Indicates that the relationship specifies the type or category of a fictional broadcast associated with an entity.
  • C. fictionalCharacter
    Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
  • D. fictionalType
    Indicates that one entity is a fictional or imaginary type or category of the other entity.
  • E. fictionalContent
    Indicates that one entity is content whose subject matter, events, or characters are imaginary or invented rather than factual.
  • F. None of above.

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_69f76e2ad95481908c920c0e5c1c3e26 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ff7ae5d088819089aa3b6360b6b749 completed May 9, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69ff7a4df6488190bf60d675b36b1d6d completed May 9, 2026, 6:17 p.m.
Created at: May 3, 2026, 4:30 p.m.