Triple

T5531143
Position Surface form Disambiguated ID Type / Status
Subject Benito Cereno E145049 entity
Predicate mainCharacter P1183 FINISHED
Object Babo
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
 E529013 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: Babo | Statement: [Benito Cereno, mainCharacter, Babo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Babo
Context triple: [Benito Cereno, mainCharacter, Babo]
  • A. Bubi
    Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
  • B. Bubi
    Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
  • C. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • D. Babica
    Babica is a mountain peak located in the Maków Beskids range in southern Poland.
  • E. Bobo
    Bobo is a major Mande language spoken primarily in parts of West Africa, notably in Burkina Faso and Mali.
  • 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: Babo
Triple: [Benito Cereno, mainCharacter, Babo]
Generated description
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Babo
Target entity description: Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
  • A. Bubi
    Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
  • B. Bubi
    Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
  • C. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • D. Babica
    Babica is a mountain peak located in the Maków Beskids range in southern Poland.
  • E. Bobo
    Bobo is a major Mande language spoken primarily in parts of West Africa, notably in Burkina Faso and Mali.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9b59bc8190a8758b3be54831e9 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02805a174819096cd16f2c1ef2eb1 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c033ddc7148190ba64ebfc2472c367 completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c036725fc481908ab0e260892d8243 completed March 22, 2026, 6:35 p.m.
Created at: March 22, 2026, 3:34 p.m.