Triple

T11251998
Position Surface form Disambiguated ID Type / Status
Subject BAFTA Games Award for Best Game (for Dishonored) E266340 entity
Predicate winner P354 FINISHED
Object Dishonored E266332 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: Dishonored | Statement: [BAFTA Games Award for Best Game (for Dishonored), winner, Dishonored]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dishonored
Context triple: [BAFTA Games Award for Best Game (for Dishonored), winner, Dishonored]
  • A. Dishonored chosen
    Dishonored is a stealth-action video game set in a dark, steampunk-inspired world where players use supernatural abilities and gadgets to navigate branching, choice-driven missions.
  • B. Dishonored
    Dishonored is a 1931 pre-Code espionage drama film directed by Josef von Sternberg and starring Marlene Dietrich as a World War I spy.
  • C. Vampyr
    Vampyr is a 1932 German-French horror film by Carl Theodor Dreyer, renowned for its dreamlike, atmospheric take on vampire folklore.
  • D. We Happy Few
    We Happy Few is a dystopian action-adventure game set in an alternate 1960s England where citizens are forced to take a mind-altering drug to maintain a facade of happiness.
  • E. Brimstone
    Brimstone is a 2016 dark Western thriller film in which Dakota Fanning plays a mute frontier woman pursued by a vengeful preacher.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e933648481909873094bc89ed041 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a0e90e48190af6b802697d3256f completed May 3, 2026, 8:40 a.m.
Created at: April 8, 2026, 9:31 p.m.