Triple

T25797446
Position Surface form Disambiguated ID Type / Status
Subject Inglourious Basterds (commando unit) E649724 entity
Predicate operationalTheaterInFiction P710 FINISHED
Object European Theater of World War II 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: European Theater of World War II | Statement: [Inglourious Basterds (commando unit), operationalTheaterInFiction, European Theater of World War II]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operationalTheaterInFiction
Context triple: [Inglourious Basterds (commando unit), operationalTheaterInFiction, European Theater of World War II]
  • A. militaryTheater chosen
    Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
  • B. operatesInFictionalSetting
    Indicates that an entity carries out its activities or functions within a fictional or imaginary setting rather than a real-world context.
  • C. hasFictionalWar
    Indicates that there exists a fictional or imagined war involving the related entities.
  • D. fieldOfOperation
    Indicates the domain, area, or scope within which an entity operates or carries out its primary activities.
  • E. worksInFictionalContext
    Indicates that an entity performs work or fulfills a role within a fictional or imagined setting rather than in real-world circumstances.
  • 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_69e7ab34f8c8819099f6c4dabdabf129 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f78c61ed4c8190ad84c918fa9af55a completed May 3, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69f78b8cb3a881909ebaac1b503988c2 completed May 3, 2026, 5:53 p.m.
Created at: April 22, 2026, 6:32 a.m.