Triple

T10811466
Position Surface form Disambiguated ID Type / Status
Subject The Wolf Man E255109 entity
Predicate character P662 FINISHED
Object Bela
Bela is a supporting character in the 1941 horror film "The Wolf Man," portrayed as a tormented Romani werewolf whose curse sets the story’s tragic events in motion.
 E887416 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: Bela | Statement: [The Wolf Man, character, Bela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bela
Context triple: [The Wolf Man, character, Bela]
  • A. Bela Sheshe
    Bela Sheshe is a Bengali film best known for featuring legendary actor Soumitra Chatterjee in a prominent role.
  • B. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • C. Dora Baltea
    Dora Baltea is a major river in northwestern Italy that flows from the Alps through the Aosta Valley and Piedmont before joining the Po River.
  • D. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • E. Rózsa
    Rózsa is the Hungarian given name of Rosika Schwimmer, a prominent early 20th-century feminist, pacifist, and suffragist activist.
  • 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: Bela
Triple: [The Wolf Man, character, Bela]
Generated description
Bela is a supporting character in the 1941 horror film "The Wolf Man," portrayed as a tormented Romani werewolf whose curse sets the story’s tragic events in motion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bela
Target entity description: Bela is a supporting character in the 1941 horror film "The Wolf Man," portrayed as a tormented Romani werewolf whose curse sets the story’s tragic events in motion.
  • A. Bela Sheshe
    Bela Sheshe is a Bengali film best known for featuring legendary actor Soumitra Chatterjee in a prominent role.
  • B. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • C. Dora Baltea
    Dora Baltea is a major river in northwestern Italy that flows from the Alps through the Aosta Valley and Piedmont before joining the Po River.
  • D. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • E. Rózsa
    Rózsa is the Hungarian given name of Rosika Schwimmer, a prominent early 20th-century feminist, pacifist, and suffragist activist.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b7bfac8190b6ae34144376d6ad completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69de853692f08190914cbeaf1a558730 completed April 14, 2026, 6:19 p.m.
NEDg Description generation batch_69de8954500c81909b57c4f8007959aa completed April 14, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69de8f38e3048190b1acc81bb56fe165 completed April 14, 2026, 7:02 p.m.
Created at: April 8, 2026, 9:18 p.m.