Triple

T10026786
Position Surface form Disambiguated ID Type / Status
Subject Mavis Dracula E200748 entity
Predicate closeFriend P8712 FINISHED
Object Wanda the werewolf
Wanda the werewolf is a friendly, maternal werewolf character from the Hotel Transylvania film series and one of Mavis Dracula’s closest companions.
E834924 NE FINISHED

How this triple was built (4 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: Wanda the werewolf | Statement: [Mavis Dracula, closeFriend, Wanda the werewolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanda the werewolf
Context triple: [Mavis Dracula, closeFriend, Wanda the werewolf]
  • A. Wayne the werewolf
    Wayne the werewolf is a harried, overworked werewolf dad and one of Dracula’s loyal monster friends in the animated Hotel Transylvania film series.
  • B. Wanda
    Wanda is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • C. Wanda
    Wanda is a fairy godparent character from the animated series "The Fairly OddParents," known for her responsible and level-headed personality.
  • D. Luna the Wolf
    Luna the Wolf is the costumed wolf mascot representing the athletic teams and school spirit of the University of Nevada, Reno.
  • E. Witch
    A Witch in Minecraft is a hostile, potion-throwing mob that uses various brews to attack players and heal itself.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wanda the werewolf
Triple: [Mavis Dracula, closeFriend, Wanda the werewolf]
Generated description
Wanda the werewolf is a friendly, maternal werewolf character from the Hotel Transylvania film series and one of Mavis Dracula’s closest companions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wanda the werewolf
Target entity description: Wanda the werewolf is a friendly, maternal werewolf character from the Hotel Transylvania film series and one of Mavis Dracula’s closest companions.
  • A. Wayne the werewolf
    Wayne the werewolf is a harried, overworked werewolf dad and one of Dracula’s loyal monster friends in the animated Hotel Transylvania film series.
  • B. Wanda
    Wanda is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • C. Wanda
    Wanda is a fairy godparent character from the animated series "The Fairly OddParents," known for her responsible and level-headed personality.
  • D. Luna the Wolf
    Luna the Wolf is the costumed wolf mascot representing the athletic teams and school spirit of the University of Nevada, Reno.
  • E. Witch
    A Witch in Minecraft is a hostile, potion-throwing mob that uses various brews to attack players and heal itself.
  • F. None of above. chosen

Provenance (5 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_69d26ac9cdfc8190b91746855bf3de12 completed April 5, 2026, 1:59 p.m.
NEDg Description generation batch_69d26b9db3f88190bea466c91e16ca59 completed April 5, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69d26c2344f4819084e473a27b7f274d completed April 5, 2026, 2:05 p.m.
Created at: March 30, 2026, 8:54 p.m.