Triple

T20468715
Position Surface form Disambiguated ID Type / Status
Subject The Wages of Fear E502124 entity
Predicate mainCharacter P1183 FINISHED
Object Bimba
Bimba is a central character in the French thriller film "The Wages of Fear," known as one of the desperate men who undertake a perilous mission to transport nitroglycerin.
 E1432798 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: Bimba | Statement: [The Wages of Fear, mainCharacter, Bimba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bimba
Context triple: [The Wages of Fear, mainCharacter, Bimba]
  • A. Bambito
    Bambito is a small mountain village in Panama known for its cool climate, lush highland scenery, and proximity to popular ecotourism destinations.
  • B. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • C. Niña
    Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
  • D. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • E. Bambina
    "Bambina" is a song by Japanese rock guitarist and composer Tomoyasu Hotei, known for his stylish, guitar-driven sound.
  • 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: Bimba
Triple: [The Wages of Fear, mainCharacter, Bimba]
Generated description
Bimba is a central character in the French thriller film "The Wages of Fear," known as one of the desperate men who undertake a perilous mission to transport nitroglycerin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bimba
Target entity description: Bimba is a central character in the French thriller film "The Wages of Fear," known as one of the desperate men who undertake a perilous mission to transport nitroglycerin.
  • A. Bambito
    Bambito is a small mountain village in Panama known for its cool climate, lush highland scenery, and proximity to popular ecotourism destinations.
  • B. Beba
    Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
  • C. Niña
    Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
  • D. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • E. Bambina
    "Bambina" is a song by Japanese rock guitarist and composer Tomoyasu Hotei, known for his stylish, guitar-driven sound.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995e71c08190911fadbc433f0f4d completed April 20, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b1a82a88190a5f531c43cdd15cb completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c9b40788190b76ef5c582996d34 completed May 16, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_6a088d186a38819085c8809560e94745 completed May 16, 2026, 3:28 p.m.
Created at: April 16, 2026, 11:33 a.m.