Triple

T10026765
Position Surface form Disambiguated ID Type / Status
Subject Mavis Dracula E200748 entity
Predicate father P120 FINISHED
Object Count 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: Count Dracula | Statement: [Mavis Dracula, father, Count Dracula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count Dracula
Context triple: [Mavis Dracula, father, Count Dracula]
  • A. 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.
  • B. Abraham Van Helsing
    Abraham Van Helsing is a wise and determined Dutch professor and vampire hunter who leads the fight against Count Dracula in Bram Stoker’s classic Gothic novel.
  • C. Van Helsing
    Van Helsing is a fantasy-horror television series that reimagines the Dracula mythos by following a descendant of Abraham Van Helsing who battles vampires in a post-apocalyptic world.
  • D. Van Helsing
    Van Helsing is a 2004 action-horror film that reimagines the legendary monster hunter battling classic Universal monsters like Dracula, Frankenstein's creature, and werewolves.
  • E. Lyle Talbot
    Lyle Talbot was an American actor known for his prolific work in film and television from the 1930s through the 1980s, including roles in both major studio productions and low-budget cult classics.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde3c1b88190924e6158f406b453 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2822bca308190ad2fad82653c6e74 completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:54 p.m.