Triple

T14253382
Position Surface form Disambiguated ID Type / Status
Subject Octonauts E353324 entity
Predicate hasCharacter P2308 FINISHED
Object Peso
Peso is the gentle penguin medic of the Octonauts crew, known for his caring nature and dedication to helping injured sea creatures.
 E1089656 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: Peso | Statement: [Octonauts, hasCharacter, Peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peso
Context triple: [Octonauts, hasCharacter, Peso]
  • A. peso
    The peso is a monetary unit used as the official currency in several Latin American countries and the Philippines, originating from the Spanish colonial silver coin.
  • B. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • C. Pesa
    The Pesa is a river in Tuscany, central Italy, known for flowing through the Chianti region before joining the Arno.
  • D. peso boliviano
    The peso boliviano was Bolivia’s former national currency, used before the introduction of the boliviano.
  • E. Peso da Régua
    Peso da Régua is a Portuguese city in the Douro Valley known as a key hub for the region’s famous port wine production and river tourism.
  • 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: Peso
Triple: [Octonauts, hasCharacter, Peso]
Generated description
Peso is the gentle penguin medic of the Octonauts crew, known for his caring nature and dedication to helping injured sea creatures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peso
Target entity description: Peso is the gentle penguin medic of the Octonauts crew, known for his caring nature and dedication to helping injured sea creatures.
  • A. peso
    The peso is a monetary unit used as the official currency in several Latin American countries and the Philippines, originating from the Spanish colonial silver coin.
  • B. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • C. Pesa
    The Pesa is a river in Tuscany, central Italy, known for flowing through the Chianti region before joining the Arno.
  • D. peso boliviano
    The peso boliviano was Bolivia’s former national currency, used before the introduction of the boliviano.
  • E. Peso da Régua
    Peso da Régua is a Portuguese city in the Douro Valley known as a key hub for the region’s famous port wine production and river tourism.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6297f38c819090d7c7fd8bfa2e9e completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325c98288190ba035fb5cc5bcf6b completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd33cba18481908f2dfe358017f11b completed May 8, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69fd346ffb9c81909ec28e514ea5451b completed May 8, 2026, 12:55 a.m.
Created at: April 10, 2026, 1:09 a.m.