Triple

T21840828
Position Surface form Disambiguated ID Type / Status
Subject Vampyr E539246 entity
Predicate title P38 FINISHED
Object Vampyr 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: Vampyr | Statement: [Vampyr, title, Vampyr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vampyr
Context triple: [Vampyr, title, Vampyr]
  • A. Vampyr chosen
    Vampyr is a 1932 German-French horror film by Carl Theodor Dreyer, renowned for its dreamlike, atmospheric take on vampire folklore.
  • B. Bloodborne
    Bloodborne is a critically acclaimed action role-playing game by FromSoftware, known for its gothic horror atmosphere, challenging combat, and intricate world design.
  • C. 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.
  • D. Dishonored
    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.
  • E. The Evil Within
    The Evil Within is a survival horror video game directed by Shinji Mikami that follows detective Sebastian Castellanos as he confronts grotesque creatures and psychological terrors within a nightmarish, shifting reality.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ab71e081908e3d3293743e6409 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.