Triple

T19454571
Position Surface form Disambiguated ID Type / Status
Subject Vecna (Stranger Things) E486701 entity
Predicate inspiredBy P9 FINISHED
Object Vecna (Dungeons & Dragons) 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: Vecna (Dungeons & Dragons) | Statement: [Vecna (Stranger Things), inspiredBy, Vecna (Dungeons & Dragons)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vecna (Dungeons & Dragons)
Context triple: [Vecna (Stranger Things), inspiredBy, Vecna (Dungeons & Dragons)]
  • A. Vecna chosen
    Vecna is a powerful, malevolent psychic villain in Stranger Things who serves as one of Eleven’s most dangerous supernatural adversaries.
  • B. Vykin the Black
    Vykin the Black is a New God superhero from DC Comics, known as the strong, stoic member of the Forever People with magnetic and technological powers.
  • C. Korath the Pursuer
    Korath the Pursuer is a Kree cybernetically enhanced warrior and enforcer in the Marvel Cinematic Universe, appearing as a formidable antagonist in Guardians of the Galaxy.
  • D. Valek
    Valek is the powerful centuries-old vampire antagonist in John Carpenter's 1998 horror film "Vampires."
  • E. Wraith
    Wraith is a horror comic series by Joe Hill that expands on the sinister world and characters of his novel "NOS4A2."
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c117ac8190a38c01c3191beaea completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.