Triple

T21632958
Position Surface form Disambiguated ID Type / Status
Subject Vengeance (2022 film) E533879 entity
Predicate title P38 FINISHED
Object Vengeance 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: Vengeance | Statement: [Vengeance (2022 film), title, Vengeance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vengeance
Context triple: [Vengeance (2022 film), title, Vengeance]
  • A. Vengeance chosen
    Vengeance is a 2022 dark comedy-thriller film written and directed by B.J. Novak that follows a New York writer-podcaster investigating a mysterious death in Texas.
  • B. Vengeance
    Vengeance is a 2012 studio album by French singer-songwriter Benjamin Biolay, known for its lush arrangements and melancholic pop style.
  • C. Vengeance
    Vengeance was a French warship that took part in the 1779 Battle off Flamborough Head during the American Revolutionary War.
  • D. Revenge
    Revenge is a post-punk/alternative rock side project formed by New Order bassist Peter Hook, known for its darker, guitar-driven sound distinct from New Order’s synth-pop style.
  • E. Revenge
    Revenge is a 2017 French action-thriller film known for its stylized, ultra-violent take on the rape-revenge genre and its striking desert setting.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef52185dbc819096ad2fc5b7d953f8 completed April 27, 2026, 12:10 p.m.
Created at: April 16, 2026, 6:35 p.m.