Triple

T3798726
Position Surface form Disambiguated ID Type / Status
Subject Hotel Transylvania 2 E91635 entity
Predicate mainCharacter P1183 FINISHED
Object Dracula E290198 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: Dracula | Statement: [Hotel Transylvania 2, mainCharacter, Dracula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dracula
Context triple: [Hotel Transylvania 2, mainCharacter, Dracula]
  • A. Dracula
    Dracula is Bram Stoker’s 1897 Gothic horror novel that introduced the iconic vampire Count Dracula and helped define modern vampire fiction.
  • B. Horror of Dracula
    Horror of Dracula is a 1958 British gothic horror film from Hammer Film Productions, renowned for its vivid color, atmospheric style, and Christopher Lee’s iconic portrayal of Count Dracula.
  • C. The Vampire
    "The Vampire" is a film featuring actress Lydia Reed, known for her work in mid-20th-century American cinema.
  • D. Count Dracula chosen
    Count Dracula is the iconic fictional vampire nobleman created by Bram Stoker, known as the central antagonist of the 1897 Gothic horror novel "Dracula" and a defining figure in vampire literature and popular culture.
  • E. Stoker
    Stoker is a surname most famously associated with Bram Stoker, the Irish author of the Gothic horror novel "Dracula."
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7a270908190ac30537a22f3d500 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f064471881908b52b2f64e50a83d completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.