Triple

T17704649
Position Surface form Disambiguated ID Type / Status
Subject The Village by the Sea E441397 entity
Predicate mainCharacter P1183 FINISHED
Object Bela
Bela is a central character in Anita Desai’s novel "The Village by the Sea," depicted as one of the struggling children in a poor Indian coastal village.
 E1283810 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 Village by the Sea, mainCharacter, Bela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bela
Context triple: [The Village by the Sea, mainCharacter, Bela]
  • A. 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.
  • B. Bela
    Bela is a historic town in Pakistan’s Balochistan province, known as an administrative and commercial center within the Lasbela region.
  • C. Bela Sheshe
    Bela Sheshe is a Bengali film best known for featuring legendary actor Soumitra Chatterjee in a prominent role.
  • D. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • E. 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.
  • 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 Village by the Sea, mainCharacter, Bela]
Generated description
Bela is a central character in Anita Desai’s novel "The Village by the Sea," depicted as one of the struggling children in a poor Indian coastal village.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bela
Target entity description: Bela is a central character in Anita Desai’s novel "The Village by the Sea," depicted as one of the struggling children in a poor Indian coastal village.
  • A. 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.
  • B. Bela
    Bela is a historic town in Pakistan’s Balochistan province, known as an administrative and commercial center within the Lasbela region.
  • C. Bela Sheshe
    Bela Sheshe is a Bengali film best known for featuring legendary actor Soumitra Chatterjee in a prominent role.
  • D. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • E. 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.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47296770c8190b6b172fb647da564 completed April 19, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a023022e50881908a617d2f80e00956 completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a0231b6005c8190a1d7aa10a61fa7b9 completed May 11, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_6a023228e064819095b1d73d0fd2c3c2 completed May 11, 2026, 7:46 p.m.
Created at: April 10, 2026, 10:05 a.m.